• There are no suggestions because the search field is empty.

Insights and resources for AI in pathology

All resources

Filter
Case study: creating a prognostic AI model for colorectal cancer Case study
Jun 28, 2024

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, ...
How can AI-assisted image analysis boost productivity in preclinical research, including GLP? Webinar
Jun 17, 2024

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 Webinar
Jun 13, 2024

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
Case study: developing an AI model to determine invasion in pulmonary adenocarcinoma Case study
May 23, 2024

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 ...
Cerba Research case study: utilizing AI in Ki-67 quantification in solid tumors Case study
Mar 5, 2024

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 ...
Best practice guide to ensure quality and long-term success using artificial intelligence to analyze digital pathology slides Whitepaper
Jan 15, 2024

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.

Video
Oct 30, 2023

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 Case study
May 24, 2023

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 ...
Video
May 23, 2023

Aiforia® Clinical Suites: Al-powered digital pathology workflow

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

Digital Pathology: Artificial Intelligence Models in Gastrointestinal Diseases Webinar
May 3, 2023

Digital Pathology: Artificial Intelligence Models in Gastrointestinal Diseases

Presented by: Dr. Roger K. Moreira, MD, Consultant, Assistant Professor, Mayo Clinic, Rochester, MN
Deep learning assisted histopathological markers in Alzheimer’s disease Webinar
Nov 30, 2022

Deep learning assisted histopathological markers in Alzheimer’s disease

Presented by: 
  • Valentina Perosa, Research Fellow at Massachusetts General Hospital/Harvard Medical School
Harnessing Artificial Intelligence for Higher Quality Data in Preclinical Trials and Translational Research Webinar
Jun 13, 2022

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

Presented by: 
  • Tate York, Director of Digital Image and Analysis at NSA Labs
Ideas and Applications for Automated Image Analysis in Veterinary Pathology Webinar
Jun 7, 2022

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
How I built 11 AI models in 6 months Webinar
Feb 23, 2022

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 Webinar
Feb 3, 2022

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
Development and validation of a deep learning AI model in lung cancer Webinar
Dec 15, 2021

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

Presented by Liesbeth Hondelink PhD candidate

Case study: using AI-based image analysis to predict ovarian tumor outcome Blog
Nov 23, 2021

Case study: using AI-based image analysis to predict ovarian tumor outcome

High-grade extrauterine serous carcinoma (HGSC) is an aggressive tumor with high rates of recurrence, mainly found in ovaries. These tumors have ...
Virtual Workshop: Practical applications of AI from research to clinical practice Webinar
Nov 8, 2021

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
 
Annotations tips and tricks Webinar
Sep 29, 2021

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 Webinar
Aug 5, 2021

Aiforia Create

Presented by Aiforia

Aiforia Create for Neuroscience Webinar
Aug 5, 2021

Aiforia Create for Neuroscience

Presented by Aiforia

Aiforia Create User Presentation Webinar
Aug 5, 2021

Aiforia Create User Presentation

Presented by Aiforia

Introduction to tCECs: a novel method for cancer diagnostics Blog
Jul 8, 2021

Introduction to tCECs: a novel method for cancer diagnostics

Cancer Diagnostics Expedited by the COVID-19 pandemic and the disruption it caused to healthcare systems, cancer rates are rising worldwide. Yet, ...
AI Powered Quantitative Pathology in Clinical and Preclinical Studies Webinar
May 25, 2021

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 Webinar
May 5, 2021

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
Quantitative evaluation of DSS-induced colitis with AI Webinar
Mar 25, 2021

Quantitative evaluation of DSS-induced colitis with AI

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

Case study: validation of PD-L1 AI model in six labs in the Netherlands Blog
Mar 16, 2021

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 ...
Developing an AI model for multiplex analysis of immune subpopulations in breast cancer Webinar
Feb 17, 2021

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

AI Unbounded Series: Mastering image analysis with Aiforia Webinar
Jan 26, 2021

AI Unbounded Series: Mastering image analysis with Aiforia

Theme: superhuman vision
 
The impact of digital pathology on immuno-oncology Blog
Jan 11, 2021

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 ...
AI Unbounded Series: Mastering image analysis with Aiforia Webinar
Dec 2, 2020

AI Unbounded Series: Mastering image analysis with Aiforia

Theme: speed

Leveraging AI-driven quantitative pathology to identity novel prognostic histologic signatures in colorectal carcinoma Webinar
Oct 21, 2020

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 Blog
Oct 15, 2020

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 ...
Accelerating preclinical assessment: using artificial intelligence for the quantitative assessment of alpha-synuclein pathology Webinar
Sep 29, 2020

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

Presented by Lundbeck

MIT case study: advancing lung cancer research with AI Blog
Sep 1, 2020

MIT case study: advancing lung cancer research with AI

Aiforia is helping advance cancer research at MIT
Case study: Ki-67 proliferation index calculation by AI Blog
Sep 1, 2020

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 ...
How I built my first AI model to assess neuropathology using Aiforia Create Webinar
Aug 1, 2020

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 Webinar
May 30, 2020

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 Webinar
May 14, 2020

Harnessing the full potential of AI in preclinical analysis

Presented by Experimentica

Cloud-based solutions for telepathology and remote image analysis Webinar
May 1, 2020

Cloud-based solutions for telepathology and remote image analysis

Presented by Aiforia

How to create AI models just by annotating Webinar
Apr 1, 2020

How to create AI models just by annotating

Presented by Aiforia

Accelerating preclinical research with AI Webinar
Feb 1, 2020

Accelerating preclinical research with AI

Presented by Charles River Laboratories

Introduction to Velocity Webinar
Jan 1, 2020

Introduction to Velocity

Presented by Aiforia

AI for histopathological analysis of murine lung tumors Webinar
Oct 1, 2019

AI for histopathological analysis of murine lung tumors

Presented by MIT

AI in neurotoxicity Webinar
Sep 1, 2019

AI in neurotoxicity

Presented by Orion

Introduction to AI in Image Analysis for preclinical research Webinar
Apr 1, 2019

Introduction to AI in Image Analysis for preclinical research

Presented by Aiforia

Introduction to AI in digital pathology Webinar
Sep 1, 2018

Introduction to AI in digital pathology

Presented by Aiforia