Insights and resources for AI in pathology

Webinar | PD-L1 on the edge: cut-offs, cognitive bias & the case for AI in lung cancer pathology

Watch this webinar to discover the real-world diagnostic pressure points of PD-L1 TPS testing in NSCLC.

Digital pathology and AI: your guide to basics and beyond

This is your guide to digital pathology and artificial intelligence. Learn everything essential, from benefits and challenges to current trends and solutions.

Webinar | Using AI in anatomic pathology: application to interstitial lung disease and liver transplantation

Watch this webinar to discover how artificial intelligence can be helpful in anatomic pathology from diagnostic, prognostic, and therapeutic perspectives.

Webinar | Developing an AI tool for renal pathology: case Galileo

Watch this webinar to discover how artificial intelligence (AI) can be beneficial in renal pathology.

Digital pathology deployment in Veneto: 8 steps to success

What is required for pathology laboratories to go fully digital? Learn how the broadest public healthcare provider in the Veneto region did it.

How did the Mayo Clinic choose a vendor for AI in pathology?

What to consider when choosing a vendor for AI in pathology? Learn how the Mayo Clinic evaluated platform providers based on six key criteria.

AI enhances detection of high-risk prostate cancer features

AI enhances detection of high-risk prostate cancer features

Prostate cancer is one of the most frequently diagnosed cancers in men worldwide.1 Despite advances in imaging and biomarker detection, definitive ...

Harmony on the horizon – could AI standardize breast cancer grading?

Harmony on the horizon – could AI standardize breast cancer grading?

Breast cancer grading is an important part of the diagnostic workup in breast cancer diagnostics. It guides treatment decisions by indicating how ...

Memorial Pathology case study: implementing AI in a private hospital setting

Memorial Pathology case study: implementing AI in a private hospital setting

Dr. İlknur Türkmen is the founder pathologist and director of Memorial Pathology. The pathology department serves 12 hospitals of Memorial Healthcare ...

PD-L1 on the edge: cut-offs, cognitive bias & the case for AI in lung cancer pathology

PD-L1 on the edge: cut-offs, cognitive bias & the case for AI in lung cancer pathology

Presented by:

Richard Doughty, Medical Director, Aiforia Technologies
Rute Pedrosa, Senior Field Application Scientist, Aiforia Technologies

The benefits of digital pathology for healthcare

The benefits of digital pathology for healthcare

Digital pathology has become widespread worldwide in more than just academic labs. Contract research organizations (CROs) and pharmaceutical ...

Guest blog: evolution of artificial intelligence in diagnostic pathology

Guest blog: evolution of artificial intelligence in diagnostic pathology

Dr. Catherine Guettier is an Emeritus Professor of Pathology at the University of Paris Saclay, where she was the Head of Pathology teaching for over ...

Foundation models in Aiforia

Foundation models in Aiforia

Learn how Aiforia incorporates foundation models into the semantic segmentation, object detection, and instance segmentation workflows in Aiforia® Create, Aiforia’s versatile tool for developing AI models for image analysis in digital pathology.

Creating a veterinary pathology AI model

Creating a veterinary pathology AI model

This whitepaper provides a concrete example of developing a vet path AI model using Aiforia® Create, Aiforia's AI development tool for image analysis. It showcases easy-to-understand steps, from model planning and data collection to annotation, training, and validation.

6 steps to creating your own veterinary pathology AI model

6 steps to creating your own veterinary pathology AI model

The retina is a highly specialized, multi-layered neural tissue responsible for vision, and its accurate segmentation is crucial for studying both ...

What are the benefits of AI in drug discovery?

What are the benefits of AI in drug discovery?

The preclinical phase of drug discovery and development involves extensive safety and efficacy evaluations of the potential therapeutic intervention, ...

The future of pathology: AI as a collaborative partner

The future of pathology: AI as a collaborative partner

Pathologists play a crucial role in supporting clinicians, patients, and the medical field as a whole. They are also among the most overburdened ...

Deep learning in digital pathology: what, why, and how?

Deep learning in digital pathology: what, why, and how?

Deep learning (DL) is a subset of machine learning (ML) that falls under the category of artificial intelligence (AI). DL is based on artificial ...

Case study: AI model can improve large droplet fat quantitation in liver pathology

Case study: AI model can improve large droplet fat quantitation in liver pathology

Estimates of the percentage of large droplet steatosis in the liver are essential for determining the liver organ quality prior to transplantation. ...

Case study: differentiating interstitial lung disease subtypes using AI-based image analysis

Case study: differentiating interstitial lung disease subtypes using AI-based image analysis

Interstitial lung disease is a large group of diseases that cause scarring or fibrosis of the lungs, stiffening them, making breathing difficult, and ...

Developing an AI tool for renal pathology: case Galileo

Developing an AI tool for renal pathology: case Galileo

Presented by:

Vincenzo L’Imperio, Pathologist and Assistant Professor
Darshan Kumar, Customer Success Manager at Aiforia

Finn Pathologists case study: Ki-67 scoring of canine mast cell tumors

Finn Pathologists case study: Ki-67 scoring of canine mast cell tumors

Veterinary pathologists play a crucial role in the diagnosis and management of cancer in animals, similar to their human medical counterparts. Canine ...

Case study: AI-based image analysis enables prognostication in ovarian cancer

Case study: AI-based image analysis enables prognostication in ovarian cancer

Although high-grade serous carcinoma (HGSC) is the most common ovarian malignancy and the fifth leading overall cause of cancer death in women, ...

Using AI in anatomic pathology: application to interstitial lung disease and liver transplantation

Using AI in anatomic pathology: application to interstitial lung disease and liver transplantation

Presented by:

Maxwell L. Smith, M.D., Pathologist at Mayo Clinic
Lucas Stetzik, Senior Scientist at Aiforia

Cerba Research case study: utility of AI in Ki-67 scoring of breast cancer

Cerba Research case study: utility of AI in Ki-67 scoring of breast cancer

Ki-67 is an important breast cancer (BC) marker, especially for adjuvant treatment in HR+, HER2- cases. Working groups have provided guidance for ...

Aiforia® Create: from research AI models to productization for clinical practice

Aiforia® Create: from research AI models to productization for clinical practice

If you are comparing AI development tools for image analysis in pathology, you might encounter many options, ranging from commercial to open-source ...

Case study: automated detection and classification of bone marrow cells

Case study: automated detection and classification of bone marrow cells

Leonie Saft, PhD, is a Senior Consultant Hematopathologist at the Department of Clinical Pathology and Cancer Diagnostics, Karolinska University ...

AI stories by Aiforia users: interview with Dr. Leonie Saft

AI stories by Aiforia users: interview with Dr. Leonie Saft

Leonie Saft, PhD, a Senior Consultant Hematopathologist at the Department of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital in Stockholm, shares her team's experience in using Aiforia® Create to develop a deep learning algorithm for the automated detection and classification of bone marrow aspirate smears in cytological preparations.

Customer story: Aiforia's solutions at AP-HP

Customer story: Aiforia's solutions at AP-HP

The department of anatomical pathology at the Bicêtre hospital equips itself with Aiforia's diagnostic support solutions. Aiforia's solution supports pathologists in their work on prostate biopsies. The implementation project will be shared by all AP-HP pathology departments analyzing prostate biopsies. Six departments will be included.

How does AI benefit toxicologic pathology?

How does AI benefit toxicologic pathology?

Toxicologic pathology is the study of the molecular, cellular, tissue, and organ response of the living organism when exposed to chemicals or other ...

AI stories by Aiforia users: interview with Vincenzo L’Imperio and Fabio Pagni

AI stories by Aiforia users: interview with Vincenzo L’Imperio and Fabio Pagni

A research team from Italy built their own AI algorithm with Aiforia® Create, Aiforia’s versatile AI development tool, for assisting in the process of kidney transplantation. We interviewed Dr. L’Imperio and Prof. Pagni to hear more about their journey so far.

Galileo case study: exploring AI’s potential in kidney transplantation

Galileo case study: exploring AI’s potential in kidney transplantation

A research team from Italy built their own AI algorithm with Aiforia® Create, Aiforia’s versatile AI development tool, for assisting in the process ...

AI stories by Aiforia users: interview with Professor Papotti and Professor Duregon

AI stories by Aiforia users: interview with Professor Papotti and Professor Duregon

Professors Mauro Papotti and Eleonora Duregon from the University of Turin used Aiforia® Create to build an AI model for mesothelioma subtyping with reticulin stain. Watch their interview to learn more about AI-powered mesothelioma research.

Case study: enhancing mesothelioma research with AI

Case study: enhancing mesothelioma research with AI

Mesothelioma is the cancer of the thin tissue layer covering the lungs and the thoracic cavity walls. Most cases of mesothelioma are caused by ...

Boost productivity by adding AI to the digital pathology workflow

Boost productivity by adding AI to the digital pathology workflow

AI is not replacing pathologists but helping them cope with increasing workloads. Implementing AI into the digital pathology workflow can save a lot ...

Case study: AI-assisted prostate cancer diagnosis

Case study: AI-assisted prostate cancer diagnosis

According to WHO, there were more than 1.4 million new cases of prostate cancer in 2020. It is the second most common cancer in men, and it caused ...

Quality control strategies for effective AI in digital pathology

Quality control strategies for effective AI in digital pathology

Digital pathology, the process of digitizing pathology slides for analysis, has revolutionized the field of pathology. Artificial analysis on digital ...

5 reasons to use AI in clinical diagnostics

5 reasons to use AI in clinical diagnostics

Rising cancer rates increase sample numbers, creating a bigger burden on pathologists, an already underrepresented group of healthcare professionals. ...

How can AI assist in detecting HER2-low breast cancer?

How can AI assist in detecting HER2-low breast cancer?

HER2 is a receptor for human epidermal growth factor, which promotes tumor cell growth, proliferation, and invasion. It is amplified in about 15% to ...

Case study: creating a prognostic AI model for colorectal cancer

Case study: creating a prognostic AI model for colorectal cancer

Colorectal cancer (CRC) is one of the most common specimens GI pathologists get. Colorectal cancer causes a significant number of deaths per year, ...

GLP and AI-assisted image analysis: what to take into account

GLP and AI-assisted image analysis: what to take into account

The first part of this article describes Good Laboratory Practice, its benefits, and how to be GLP-compliant. The second part dives deeper into how ...

How can AI-assisted image analysis boost productivity in preclinical research, including GLP?

How can AI-assisted image analysis boost productivity in preclinical research, including GLP?

Presented by:

Richard Haworth, Founder and Director, RosettaPath Ltd.
Richard Fox, Veterinary Pathologist, Aiforia Technologies Plc

Using prognostic AI models in pathology: case colorectal cancer

Using prognostic AI models in pathology: case colorectal cancer

Presented by:

Rish K. Pai, M.D., Ph.D., Pathologist, Mayo Clinic
Thomas Westerling-Bui, Ph.D., CCO, Aiforia Inc

Digital pathology deployment in Veneto: 8 steps to success

Digital pathology deployment in Veneto: 8 steps to success

Azienda Zero is the broadest public healthcare provider in Veneto’s North Italian region, and its healthcare system serves almost 5 million people. ...

Aiforia® Create feature: multichannel images and analysis

Aiforia® Create feature: multichannel images and analysis

Aiforia®️ Create is the most versatile tool for developing deep learning AI models for image analysis. This article explains its immunofluorescence ...

Case study: developing an AI model to determine invasion in pulmonary adenocarcinoma

Case study: developing an AI model to determine invasion in pulmonary adenocarcinoma

The new diagnostic categories of pulmonary adenocarcinoma Pulmonary adenocarcinoma, also known as lung adenocarcinoma, is a non-small cell lung ...

How did the Mayo Clinic choose a vendor for AI in pathology?

How did the Mayo Clinic choose a vendor for AI in pathology?

Artificial intelligence (AI) is considered a major technology development for anatomic pathology. More and more clinics are now designing their ...

What is the role of AI in veterinary pathology?

What is the role of AI in veterinary pathology?

What is veterinary pathology? Veterinary pathology is a multifaceted field within veterinary medicine that focuses on diagnosing diseases in animals. ...

Aiforia® Create features: object detection, semantic and instance segmentation

Aiforia® Create features: object detection, semantic and instance segmentation

Aiforia® Create is the most versatile tool for developing deep learning AI models for image analysis. The intuitive user interface ensures fast ...

Aiforia® Create feature: validation

Aiforia® Create feature: validation

Aiforia® Create is the most versatile tool for developing deep learning AI models for image analysis. Its cloud-based, collaborative working ...

Cerba Research case study: utilizing AI in Ki-67 quantification in solid tumors

Cerba Research case study: utilizing AI in Ki-67 quantification in solid tumors

Why Ki-67? Although it is an important biomarker in oncology (mostly in breast and prostate), Ki-67 immunohistochemistry (IHC) analysis has yet to be ...

Aiforia® Create feature: transfer learning

Aiforia® Create feature: transfer learning

Aiforia®️ Create is the most versatile tool for developing deep learning AI models for image analysis. This article explores its transfer learning ...

Best practice guide to ensure quality and long-term success using artificial intelligence to analyze digital pathology slides

Best practice guide to ensure quality and long-term success using artificial intelligence to analyze digital pathology slides

Artificial analysis on digital pathology slides involves applying machine learning algorithms and artificial intelligence (AI) techniques to assist pathologists in diagnosing diseases accurately and efficiently. To ensure reliable and accurate results, it is beneficial to follow best practices for workflow processes and maintain strict quality control measures. This approach helps guarantee long-term success in AI-assisted image analysis.

A message from Professor Angelo Paolo Dei Tos on the value of digital pathology and AI

A message from Professor Angelo Paolo Dei Tos on the value of digital pathology and AI

Professor Angelo Paolo Dei Tos from the University of Padova shares a message on the exciting intersection of digital pathology and AI. Why should you integrate AI into your workflow? Watch the video.

Faron Pharmaceuticals case study: using AI to perform spatial analysis in cancer drug development

Faron Pharmaceuticals case study: using AI to perform spatial analysis in cancer drug development

In cancer patients, the immune system's ability to recognize and destroy cancer cells is often suppressed due to several factors. Cancer cells can ...

Aiforia® Clinical Suites: Al-powered digital pathology workflow

Aiforia® Clinical Suites: Al-powered digital pathology workflow

Discover how Aiforia Clinical AI models are integrated into a clinical pathology lab.

Women in STEM: Hande Demir Holopainen

Women in STEM: Hande Demir Holopainen

How long have you been at Aiforia, and what do you do? I’ve worked at Aiforia for over a year as a Project Specialist on the Science team. My main ...

Digital Pathology: Artificial Intelligence Models in Gastrointestinal Diseases

Digital Pathology: Artificial Intelligence Models in Gastrointestinal Diseases

Presented by: Dr. Roger K. Moreira, MD, Consultant, Assistant Professor, Mayo Clinic, Rochester, MN

Meet our Pathologists: Interview with Dr. Hanna-Kaisa Sihvo

Meet our Pathologists: Interview with Dr. Hanna-Kaisa Sihvo

What do you do for Aiforia? I’m mainly involved in the concept planning of new products for the preclinical sector. In practice, I serve as a subject ...

Deep learning assisted histopathological markers in Alzheimer’s disease

Deep learning assisted histopathological markers in Alzheimer’s disease

Valentina Perosa, Research Fellow at Massachusetts General Hospital/Harvard Medical School

Meet our Pathologists: Interview with Dr. Lucas Stetzik

Meet our Pathologists: Interview with Dr. Lucas Stetzik

What do you do for Aiforia? I’m a Senior Scientist here at Aiforia. I work with researchers and clinicians to help them develop their AI models. I ...

Meet our Pathologists: Interview with Dr. Alireza Samiei

Meet our Pathologists: Interview with Dr. Alireza Samiei

What do you do for Aiforia? Dr. Samiei: I’m a Computational (AI) Pathologist here at Aiforia. I help to ensure that the software we develop meets the ...

How AI can improve the speed and accuracy of breast cancer diagnostics

How AI can improve the speed and accuracy of breast cancer diagnostics

Challenges in breast cancer diagnostics Rising rates of diseases like cancer have increased pathology sample numbers by 40% in the last 10 years (1). ...

Employee Spotlight: Interview with Vigdis Lysø-Jakobsen

Employee Spotlight: Interview with Vigdis Lysø-Jakobsen

How long have you been at Aiforia, and what do you do? I joined Aiforia 1st of February this year as a Solutions manager. This is a new role in ...

Harnessing Artificial Intelligence for Higher Quality Data in Preclinical Trials and Translational Research

Harnessing Artificial Intelligence for Higher Quality Data in Preclinical Trials and Translational Research

Tate York, Director of Digital Image and Analysis at NSA Labs

Ideas and Applications for Automated Image Analysis in Veterinary Pathology

Ideas and Applications for Automated Image Analysis in Veterinary Pathology

Presented by:

Dr. Gillian Beamer DVM, PhD, DACVP

Organized by:

The British Society of Veterinary Pathology

Employee Spotlight: Interview with Ville Lehtonen

Employee Spotlight: Interview with Ville Lehtonen

How long have you been at Aiforia, and what do you do? I joined Aiforia in mid-January 2022 so I've now been an Aiforian for almost 2 months. I'm ...

Massachusetts General Hospital case study: AI-assisted image analysis of neurodegenerative disease markers

Massachusetts General Hospital case study: AI-assisted image analysis of neurodegenerative disease markers

Alzheimer’s disease (AD) is the most common cause of dementia, attributed to its characteristic symptoms of brain shrinkage and cell death. Onset of ...

Case study: the use of AI in Parkinson’s disease research

Case study: the use of AI in Parkinson’s disease research

Parkinson’s disease (PD) is the second most common neurodegenerative disorder, characterized by the degeneration of dopamine-releasing regions in the ...

How I built 11 AI models in 6 months

How I built 11 AI models in 6 months

Presented by:

Dr. Raquel TaddeiResearch Fellow in Neurology at Harvard/Massachusetts General Hospital
Dr. Lindsey SmithField Application Scientist at Aiforia

Introduction to Aiforia's CE-IVD marked PD-L1 and Ki67 AI models

Introduction to Aiforia's CE-IVD marked PD-L1 and Ki67 AI models

Presented by:

Nelli Sjöblom MD, Consulting Pathologist at Aiforia
Anna Laury MD, Consulting Pathologist at Aiforia

Case study: using AI to identify and research orthohantavirus infections

Case study: using AI to identify and research orthohantavirus infections

Orthohantaviruses are globally spread zoonotic pathogens typically causing chronic asymptomatic infection in rodents. However, humans can be infected ...

Development and validation of a deep learning AI model in lung cancer

Development and validation of a deep learning AI model in lung cancer

Presented by Liesbeth Hondelink PhD candidate

Virtual Workshop: Practical applications of AI from research to clinical practice

Virtual Workshop: Practical applications of AI from research to clinical practice

Presented by:

Emine Cesmecioglu MD, Senior Research Scientist at Memorial Sloan Kettering Cancer Center
Rish Pai MD, PhD, Consultant Pathologist and Professor of Laboratory Medicine and Pathology Organisation at the Mayo Clinic
Alex Klimowicz PhD, Senior Principal Scientist at Boehringer Ingelheim
Christiane V. Löhr, Dr. med. vet., PhD, Visiting Scientist at Charles River Laboratories
Thomas Westerling-Bui PhD, Director of Scientific Strategy at Aiforia

Case study: infectious diseases and AI

Case study: infectious diseases and AI

Infectious diseases come from microorganisms, such as bacteria, viruses, fungi, or parasites. The pathogens are transmitted, directly or indirectly, ...

Annotations tips and tricks

Annotations tips and tricks

How to develop the ground truth for a deep learning AI model

Presented by:

Dr. Aleksandra Zuraw, a board-certified veterinary pathologist
Dr. Lindsey Smith, Field Application Scientist at Aiforia

Aiforia Create

Aiforia Create

Presented by Aiforia

Aiforia Create for Neuroscience

Aiforia Create for Neuroscience

Presented by Aiforia

Aiforia Create User Presentation

Aiforia Create User Presentation

Presented by Aiforia

Case study: AI models aiding chronic cholestasis detection

Case study: AI models aiding chronic cholestasis detection

A cholestatic condition is characterized by decreased bile flow as substances normally excreted into bile are retained. This is often due to impaired ...

Introduction to tCECs: a novel method for cancer diagnostics

Introduction to tCECs: a novel method for cancer diagnostics

Expedited by the COVID-19 pandemic and the disruption it caused to healthcare systems, cancer rates are rising worldwide. Yet, diagnostic methods are ...

Case study: benefits of AI in Huntington's disease image analysis

Case study: benefits of AI in Huntington's disease image analysis

What is Huntington's disease? Huntington's disease (HD) is a progressive brain disorder caused by a single defective gene called huntingtin. Over ...

Case study: benefits of AI in Parkinson’s disease image analysis

Case study: benefits of AI in Parkinson’s disease image analysis

Parkinson’s disease (PD) is a neurological disorder characterized by the degeneration of dopamine-releasing regions in the brain. The loss of ...

AI Powered Quantitative Pathology in Clinical and Preclinical Studies

AI Powered Quantitative Pathology in Clinical and Preclinical Studies

Presented by:

Rish Pai MD PhD, Consultant Pathologist and Professor of Laboratory Medicine and Pathology at the Mayo Clinic
Alex Klimowicz PhD, Senior Principal Scientist at Boehringer Ingelheim Pharma

Applying AI in toxicology safety studies: from training to validation

Applying AI in toxicology safety studies: from training to validation

Presented by:

Mark Smith PhD VMD, Veterinary Pathologist at Charles River Laboratories
Thomas Westerling-Bui PhD, Director of Scientific Strategy at Aiforia

Case study: automating the detection of malaria parasites in blood smear

Case study: automating the detection of malaria parasites in blood smear

Malaria is a life-threatening disease caused by Plasmodium parasites and transmitted through the bites of infected female Anopheles mosquitoes. Five ...

CRL case study: AI-assisted screening of bone marrow cellularity changes

CRL case study: AI-assisted screening of bone marrow cellularity changes

Bone marrow cellularity is the volume ratio of hematopoiesis (the body’s manufacturing of blood cells) and fat, and it decreases with age. Many ...

Case study: advancing neurodegenerative disease research with AI

Case study: advancing neurodegenerative disease research with AI

Dr. Lanciego, Staff Scientist and Director of the Laboratory of Functional Basal Ganglia Neuroanatomy Center for Applied Medical Research at the ...

Case study: AI-aided identification of yeast contamination

Case study: AI-aided identification of yeast contamination

Yeasts are common microorganisms used in industrial fermentation processes such as food and alcohol production. Microbial contamination of such ...

Benefits of AI and digital pathology to the clinical lab

Benefits of AI and digital pathology to the clinical lab

Pathologists have been examining glass slides under a microscope for over 150 years. Only recently have laboratories around the world started ...

Quantitative evaluation of DSS-induced colitis with AI

Quantitative evaluation of DSS-induced colitis with AI

Presented by Dr. Bedard and Dr. Zuraw veterinary pathologists at Charles River Laboratories

University of Oulu case study: AI in endometrial cell analysis

University of Oulu case study: AI in endometrial cell analysis

PEDEGO, a research unit at the University of Oulu, covers a wide range of topics primarily around pediatrics, obstetrics, and gynecology. The ...

Case study: validation of PD-L1 AI model in six labs in the Netherlands

Case study: validation of PD-L1 AI model in six labs in the Netherlands

Programmed death-ligand 1 (PD-L1) is a protein that, when attached to T cells, prevents the immune system from killing cancer cells. Hence, PD-L1 is ...

CRL case study: AI model for DSS-induced colitis

CRL case study: AI model for DSS-induced colitis

Inflammatory Bowel Disease (IBD) is a debilitating disease for which no cure exists. Murine models are widely used to study IBD, amongst them, the ...

Developing an AI model for multiplex analysis of immune subpopulations in breast cancer

Developing an AI model for multiplex analysis of immune subpopulations in breast cancer

Presented by Camille Hurley PhD student at the Royal College of Surgeons in Ireland

DECIDER project launches to improve diagnostics and treatment of ovarian cancer

DECIDER project launches to improve diagnostics and treatment of ovarian cancer

The European Union has funded a project to improve personalized treatments for ovarian cancer with nearly 15 million euros for five years. The ...

AI Unbounded Series: Mastering image analysis with Aiforia

AI Unbounded Series: Mastering image analysis with Aiforia

Theme: superhuman vision

The impact of digital pathology on immuno-oncology

The impact of digital pathology on immuno-oncology

Immuno-oncology (IO) relies on harnessing our own immune systems in order to develop personalized therapies and medications for cancer. For this, a ...

Case study: quantitating histopathological features of idiopathic pulmonary fibrosis

Case study: quantitating histopathological features of idiopathic pulmonary fibrosis

Kati Mäkelä, an MD specializing in pulmonary medicine at the Helsinki University Hospital and a PhD student in the Lung Factor Research Group at the ...

AI Unbounded Series: Mastering image analysis with Aiforia

AI Unbounded Series: Mastering image analysis with Aiforia

Theme: speed

Van Andel Institute case study: quantitative assessment of alpha-synuclein immunoreactivity with AI

Van Andel Institute case study: quantitative assessment of alpha-synuclein immunoreactivity with AI

We interviewed Christopher Tulisiak, PhD, a Postdoctoral Fellow at the Van Andel Institute, about their research on Parkinson's disease. Read his ...

Leveraging AI-driven quantitative pathology to identity novel prognostic histologic signatures in colorectal carcinoma

Leveraging AI-driven quantitative pathology to identity novel prognostic histologic signatures in colorectal carcinoma

Presented by the Mayo Clinic

Case study: automating the quantification of PD-L1 in lung cancer

Case study: automating the quantification of PD-L1 in lung cancer

“When I first started, I did not know anything about AI,” describes Liesbeth Hondelink, MSc student at Leiden University Medical Centre in the ...

Aiforia secures U.S. patent for high-speed AI training tool in medical image analysis

Aiforia secures U.S. patent for high-speed AI training tool in medical image analysis

Aiforia, a leading provider of deep learning artificial intelligence (AI) solutions for image analysis across a variety of medical domains, has been ...

Case Skåne: one of the world’s largest digital transformations in pathology

Case Skåne: one of the world’s largest digital transformations in pathology

Skåne, a southern county of Sweden, recently completed one of the world's largest adoptions of digital pathology. Four labs, 14 scanners, and an ...

Case study: enhancing COVID-19 research with AI

Case study: enhancing COVID-19 research with AI

Dr. Robert Mozayeni is a physician/researcher in Bethesda, Maryland, where he is a director of the Foundation for the Study of Inflammatory Disease ...

Accelerating preclinical assessment: using artificial intelligence for the quantitative assessment of alpha-synuclein pathology

Accelerating preclinical assessment: using artificial intelligence for the quantitative assessment of alpha-synuclein pathology

Presented by Lundbeck

Preeclampsia case study: enhancing reproductive disease research with AI

Preeclampsia case study: enhancing reproductive disease research with AI

Preeclampsia, a hypertensive pregnancy disorder, is a major cause of maternal and perinatal mortality and morbidity.1 Satu Wedenoja, MD, PhD, a ...

Aiforia® Create feature: Annotation Assistant

Aiforia® Create feature: Annotation Assistant

Aiforia® Create is the most versatile tool for developing deep learning AI models for image analysis. It supports the user by automating manual steps ...

Does deep learning AI provide a promising alternative to stereology?

Does deep learning AI provide a promising alternative to stereology?

Introduction Analyzing three dimensional objects has always been a challenge for researchers who wish to find truthful, unbiased information. This is ...

Tufts University case study: enhancing tuberculosis research with AI

Tufts University case study: enhancing tuberculosis research with AI

Mycobacterium tuberculosis, the pathogen causing tuberculosis (TB), is a cunning species of bacteria. It can persist in hosts for years, evading ...

MIT case study: advancing lung cancer research with AI

MIT case study: advancing lung cancer research with AI

Aiforia is helping advance cancer research at MIT

Case study: evaluating prognostic indicators in primary sclerosing cholangitis with AI

Case study: evaluating prognostic indicators in primary sclerosing cholangitis with AI

Primary sclerosing cholangitis (PSC) is one of the leading causes of liver transplantation in the Nordic countries. A chronic disease of the liver, ...

Orion Pharma case study: accelerating preclinical neurotoxicity analysis with AI

Orion Pharma case study: accelerating preclinical neurotoxicity analysis with AI

AI enables efficient preclinical neurotoxicity analysis at Orion Pharma Preclinical toxicology studies are an essential part of drug discovery and ...

Sanofi case study: Parkinson's disease research with AI

Sanofi case study: Parkinson's disease research with AI

Can Kayatekin, Senior Scientist at Sanofi, runs a group in his lab studying Parkinson’s disease (PD). Their mission is to find targets for ...

CRL case study: accelerating preclinical analysis with AI

CRL case study: accelerating preclinical analysis with AI

Ten pathologists and scientists worldwide are sharing an Artificial Intelligence (AI) solution for their work using one software subscription. From ...

Case study: AI-assisted neuron quantification for Parkinson's disease

Case study: AI-assisted neuron quantification for Parkinson's disease

Neurodegenerative diseases are a growing burden for our aging population. Two researchers, each running their own labs at the University of Helsinki ...

Case study: evaluating stages of the estrus cycle with AI

Case study: evaluating stages of the estrus cycle with AI

Translating images into new discoveries with deep learning AI Dr. Leena Strauss, a lecturer and researcher at the University of Turku’s Institute of ...

Massachusetts General Hospital case study: Alzheimer's disease research with AI

Massachusetts General Hospital case study: Alzheimer's disease research with AI

Ashley Scherlek, a research technician at Massachusetts General Hospital (MGH) working on Alzheimer’s disease, delegates her image analysis tasks to ...

Food safety case study: salmon skin analysis by AI

Food safety case study: salmon skin analysis by AI

Dr Lene Sveen is a researcher in the fish health group at Nofima, an institute for applied research within the fields of fisheries, aquaculture, and ...

Barrow Neurological Institute case study: stereology versus AI in neuron quantification

Barrow Neurological Institute case study: stereology versus AI in neuron quantification

Neuroscientists Fredric Manfredsson and Ivette Sandoval, both currently at the Barrow Neurological Institute, had never considered using deep ...

Case study: Ki-67 proliferation index calculation by AI

Case study: Ki-67 proliferation index calculation by AI

Jenni Säilä, a researcher at the HUSLAB Department of Pathology, working together with her supervisor Tiina Vesterinen, developed a deep learning AI ...

Experimentica case study: accelerating preclinical analysis of ocular diseases

Experimentica case study: accelerating preclinical analysis of ocular diseases

Maria Vähätupa, PhD, Project Coordinator & Senior Scientist, and Marc Cerrada-Gimenez, PhD, Director of in Vivo Pharmacology, used Aiforia® ...

NAFLD case study: assessing liver histology with AI

NAFLD case study: assessing liver histology with AI

Sami Qadri, an MD PhD student from the University of Helsinki, is part of a research group studying nonalcoholic fatty liver disease (NAFLD). The ...

How I built my first AI model to assess neuropathology using Aiforia Create

How I built my first AI model to assess neuropathology using Aiforia Create

Presented by Massachusetts General Hospital

Evaluating a novel treatment for ALS with the assistance of AI

Evaluating a novel treatment for ALS with the assistance of AI

Presented by the University of Helsinki

Harnessing the full potential of AI in preclinical analysis

Harnessing the full potential of AI in preclinical analysis

Presented by Experimentica

Cloud-based solutions for telepathology and remote image analysis

Cloud-based solutions for telepathology and remote image analysis

Presented by Aiforia

How to create AI models just by annotating

How to create AI models just by annotating

Presented by Aiforia

Accelerating preclinical research with AI

Accelerating preclinical research with AI

Presented by Charles River Laboratories

Introduction to Velocity

Introduction to Velocity

Presented by Aiforia

AI for histopathological analysis of murine lung tumors

AI for histopathological analysis of murine lung tumors

Presented by MIT

AI in neurotoxicity

AI in neurotoxicity

Presented by Orion

Introduction to AI in Image Analysis for preclinical research

Introduction to AI in Image Analysis for preclinical research

Presented by Aiforia

Introduction to AI in digital pathology

Introduction to AI in digital pathology

Presented by Aiforia

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