Scientific Publications

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Diagnostics

AI Model for Prostate Biopsies Predicts Cancer Survival

Brain Communications

Evaluation of ABT-888 in the amelioration of α-synuclein fibril-induced neurodegeneration

Science Translational Medicine

Distinct populations of highly potent TAU seed conformers in rapidly progressing Alzheimer’s disease

Cells

Microglia-like Cells Promote Neuronal Functions in Cerebral Organoids

Histopathology

Development and validation of a supervised deep learning algorithm for automated whole-slide programmed death-ligand 1 tumour proportion score assessment in non-small cell lung cancer

Neurotherapeutics

MicroRNA-7 Protects Against Neurodegeneration Induced by α-Synuclein Preformed Fibrils in the Mouse Brain

Cell Reports Medicine

Functional diagnostics using fresh uncultured lung tumor cells to guide personalized treatments

Nature Cancer

Low neoantigen expression and poor T-cell priming underlie early immune escape in colorectal cancer

Scientific Reports

Artificial intelligence-based image analysis can predict outcome in high-grade serous carcinoma via histology alone

Acta Neuropathologica Communications

Deep learning assisted quantitative assessment of histopathological markers of Alzheimer’s disease and cerebral amyloid angiopathy

PLOS Pathogens

Hantavirus infection-induced B cell activation elevates free light chains levels in circulation

Neurobiology of Aging

Monitoring of a progressive functional dopaminergic deficit in the A53T-AAV synuclein rats by combining 6-[18F]fluoro-L-m-tyrosine imaging and motor performances analysis.

Journal of Parkinson's Disease

Neuroprotective Potential of a Small Molecule RET Agonist in Cultured Dopamine Neurons and Hemiparkinsonian Rats

Molecular and Cellular Neuroscience

Parvalbumin subtypes of cerebellar Purkinje cells contribute to differential intrinsic firing properties

Inflammatory Bowel Diseases

Utilizing Deep Learning to Analyze Whole Slide Images of Colonic Biopsies for Associations Between Eosinophil Density and Clinicopathologic Features in Active Ulcerative Colitis

Diagnostic Pathology

Chronic cholestasis detection by a novel tool: automated analysis of cytokeratin 7-stained liver specimens

The Journal of Pathology

High tumor cell platelet-derived growth factor receptor beta expression is associated with shorter survival in malignant pleural epithelioid mesothelioma

International Journal of Molecular Sciences

Glucocerebrosidase Gene Therapy Induces Alpha-Synuclein Clearance and Neuroprotection of Midbrain Dopaminergic Neurons in Mice and Macaques

Jama Network Open

Point-of-Care Digital Cytology With Artificial Intelligence for Cervical Cancer Screening in a Resource-Limited Setting

PLOS Pathogens

Monocyte subset redistribution from blood to kidneys in patients with Puumala virus caused hemorrhagic fever with renal syndrome

Histopathology

Development and initial validation of a deep learning algorithm to quantify histologic features in colorectal carcinoma including tumour budding/poorly differentiated clusters

Toxicologic Pathology

Proof of Concept for a Deep Learning Algorithm for Identification and Quantification of Key Microscopic Features in the Murine Model of DSS-Induced Colitis

Aquaculture

Deep neural network analysis - a paradigm shift for histological examination of health and welfare of farmed fish

Toxicologic Pathology

Screening For Bone Marrow Cellularity Changes in Cynomolgus Macaques in Toxicology Safety Studies Using Artificial Intelligence Models

Human Pathology

Artificial intelligence identifies inflammation and confirms fibroblast foci as prognostic tissue biomarkers in idiopathic pulmonary fibrosis

PNAS

Machine-learning–driven biomarker discovery for the discrimination between allergic and irritant contact dermatitis

Frontiers in Cardiovascular Medicine

Osteoid metaplasia in femoral artery plaques is associated with the clinical severity of lower extremity artery disease in men

PLOS One

A novel deep learning-based point-of-care diagnostic method for detecting Plasmodium falciparum with fluorescence digital microscopy

AP&T

Evaluating the optimum number of biopsies to assess histological inflammation in ulcerative colitis: a retrospective cohort study

Brain

Neuropathological correlates of cortical superficial siderosis in cerebral amyloid angiopathy

EBioMedicine

Fetal HLA-G mediated immune tolerance and interferon response in preeclampsia

Nature Cancer

Keap1 mutation renders lung adenocarcinomas dependent on Slc33a1

BMC Medical Education

Using online game-based platforms to improve student performance and engagement in histology teaching

Breast Cancer Research and Treatment

Breast cancer outcome prediction with tumour tissue images and machine learning

PLOS One

Detection of breast cancer lymph nodemetastases in frozen sections with a point-ofcare low-cost microscope scanner

Journal of Clinical Pathology

Deep learning for detecting tumour-infiltrating lymphocytes in testicular germ cell tumours

Journal of Neuroscience Research

Downregulation of tyrosine hydroxylase phenotype after AAV injection above substantia nigra: Caution in experimental models of Parkinson’s disease

European Urology Focus

PTEN Loss but Not ERG Expression in Diagnostic Biopsies Is Associated with Increased Risk of Progression and Adverse Surgical Findings in Men with Prostate Cancer on Active Surveillance

PNAS

Synergistic neuroprotection by coffee components eicosanoyl-5-hydroxytryptamide and caffeine in models of Parkinson's disease and DLB

EJN

Implementation of deep neural networks to count dopamine neurons in substantia nigra

Tumor Biology

The prognostic significance of tall cells in papillary thyroid carcinoma: A case-control study

AP&T

Reliability of histologic assessment in patients with eosinophilic oesophagitis

Med Ed Publish

Student-focused virtual histology education: Do new scenarios and digital technology matter?

Global Health Action

Point-of-care mobile digital microscopy and deep learning for the detection of soil-transmitted helminths and Schistosoma haematobium

Journal of Pathology Informatics

Antibody-supervised deep learning for quantification of tumor-infiltrating immune cells in hematoxylin and eosin stained breast cancer samples

PLOS One

Quantification of Estrogen Receptor-Alpha Expression in Human Breast Carcinomas With a Miniaturized, Low-Cost Digital Microscope: A Comparison with a High-End Whole Slide-Scanner

Journal of Pathology Informatics

Exploring viewing behavior data from whole slide images to predict correctness of students’ answers during practical exams in oral pathology

Journal of Clinical Pathology

Assessment of tumour viability in human lung cancer xenografts with texture-based image analysis

Diagnostic Pathology

Students' performance during practical examination on whole slide images using view path tracking

PLOS One

A Malaria Diagnostic Tool Based on Computer Vision Screening and Visualization of Plasmodium falciparum Candidate Areas in Digitized Blood Smears

Mayo Clinic

Additional Validation of a Deep Learning Algorithm to Quantify Histologic Features in Colorectal Carcinoma

Mayo Clinic

Development of an Artificial Intelligence Model for the Evaluation of Histopathologic Features of Eosinophilic Esophagitis

Charles River Laboratories

Artificial Intelligence Enables Efficient and Reproducible Quantitative Rodent Toxicology Ovarian Follicle Evaluation

University of Helsinki

A Deep Learning Algorithm to Quantify Liver Fat Content in Humans

Experimentica

Systemically administered Aflibercept protects against the development of neovascular lesions in the mouse laser-induced choroidal neovascularization model

Haukeland University Hospital

Using deep neural networks to count Ki-67 positive cells in neuroendocrine tumors

University of Helsinki

Deep convolutional neural network-based method for quantification of the pancreatic β-cell mass in mice

University of Helsinki

Implementation of Neural Networks for studies of brain pathology in Parkinson´s disease

University of Helsinki

Deep-learning neural network in prostate cancer detection and grading

University of Helsinki

A deep-learning algorithm to determine liver fat content in non-alcoholic fatty liver disease in humans