mHtt aggregation
Implementing AI models to analyze mutant huntingtin (mHtt) aggregation in Huntington's Disease affected brain tissue at the University of Helsinki.
TH+ neuron quantification
Automated dopaminergic neuron quantification in Parkinson’s disease research at Duke University.
Amyloid-β detection
AI-assisted identification of the most characteristic markers of AD and CAA, including Aβ plaques, at Massachusetts General Hospital.
Iron deposit measurement
Measuring the quantity and distribution of iron deposits in grey and white matter in Alzheimer's disease studies at Massachusetts General Hospital.
Astrocyte detection
Use of AI for image analysis and astrocyte detection in Parkinson’s Disease research at Vall d'Hebron Instituto de Investigación.
α-synuclein assessment
Quantitative assessment of alpha-synuclein pathology in preclinical Parkinson's disease studies at Lundbeck pharmaceutical company.
TH+ neuron quantification
AI models for the identification and quantification of dopaminergic cells (TH+) in the substantia nigra pars compacta (SNc) at the University of Navarra.
Astrocyte reactivity quantification
Quantifying astrocyte reactivity in preclinical neurotoxicity studies at Orion pharmaceutical company.
Cerebellum classification
Automated classification of molecular and purkinje layers in brain image with area measurements. Subsequent detection and count of interneurons and purkinje cells.
Ki-67 quantification
Cerba Research case study: Evidence for the utility of AI in Ki-67 quantification in solid tumors
Spatial Biology
Creation of an AI model to quantify and localize Clever-1 protein in the tumor microenvironment at Faron Pharmaceuticals.
PD-L1 scoring
Automated calculation and scoring of PD-L1 markers in a lung at Leiden University Medical Centre.
Ki-67 quantification
Calculating Ki-67 proliferation index for pulmonary carcinoid tumors with AI at the Helsinki University Hospital.
Tumor outcome prediction
Creation of AI model to accurately classify high grade serous carcinoma into outcome groups at the University of Helsinki.
Carcinoma segmentation
AI-assisted segmentation of colorectal carcinoma digitized images to identify prognostic and predictive histologic signatures at Mayo Clinic.
HER2+ marker detection
AI assisted detection of IHC stained CD3+ T-cells, CD20+ B-cells, DC-Lamp+ mature dendritic cells, and Hematoxylin in a HER2+ breast cancer surgical resection at the Royal College of Surgeons in Ireland.
Blast cell and RBC identification
AI trained to identify blast cells and red blood cells on previously diagnosed cases of acute myelogenous leukemia at the Jinnah Sindh Medical University.
Tumor grading
Automated tumor grading in prostate cancer biopsies at the Helsinki University Hospital, Finland, and in Region Skåne lab, Sweden.
Biomarker identification
Identifying novel prognostic biomarkers in primary sclerosing cholangitis (PSC) at the Helsinki University Hospital.
Ballooning assessment
AI in studying nonalcoholic fatty liver disease (NAFLD) and its capability to segment structures in liver histology at the University of Helsinki.
Fibrosis quantification
Automated quantification of damage and scarring in liver tissue in nonalcoholic fatty liver disease (NAFLD) and nonalcoholic steatohepatitis (NASH).
Inflammation quantification
Automated quantification of inflammation in liver tissue in nonalcoholic fatty liver disease (NAFLD) and nonalcoholic steatohepatitis (NASH).
Steatosis quantification
Automated quantification of fat accumulation in liver tissue in nonalcoholic fatty liver disease (NAFLD) and nonalcoholic steatohepatitis (NASH).
Hematopoietic cell enumeration
AI model used to identify and enumerate hematopoietic cells to determine changes in bone marrow cellularity for pharmacologic safety studies at Charles River Laboratories.
Histopathological lesion evaluation
Using AI for detecting the cortex and medulla and reviewing tissues for histopathological lesions in blinded studies at Texas A&M University.
DSS Colitis assessment
DSS-induced colitis AI model trained for histopathological lesion detection and colon inflammation assessments at Charles River Laboratories.
Malaria detection
Automated malaria parasite detection from blood smears at the University of Helsinki.
Tuberculosis quantification
Automated detection and quantification of cells and lesions in tuberculosis studies at Tufts University.
Pulmonary fibrosis quantification
Identification and quantification of histopathological features of idiopathic pulmonary fibrosis (IPF) including fibroblast foci, and interstitial and alveolar inflammatory cells at the University of Helsinki.
Neovascular lesion scanning
Neovascular lesion identification in SD-OCT scans for preclinical model development with the contract research organization Experimentica.
Coronavirus identification
Analyzing microscopic images of human blood and tissue to identify patterns of COVID-related disease at the Foundation for the Study of Inflammatory Disease.
Pulmonary fibrosis identification
Charles River Laboratories pathologists are enhancing image analysis in pre-clinical toxicology, lung studies for lung tissue detection, parenchyma, structural collagen, and fibrotic lesions.
Preeclampsia assessment
Quantification of HLA-G/CK7 ratios for protein expression in preeclampsia research at Helsinki University Hospital.
Epithelium segmentation
Automated segmentation and quantification of endometrial leukocytes and proliferation in PCOS with immunohistochemically stained endometrial samples.
Estrus cycle evaluation
AI-assisted image analysis of cytological samples from mice to determine the stages of the estrus cycle at the University of Turku.
Follicle quantification
Immune cell detection
Multichannel (Immunofluorescence) human colon tissue showing staining for various vascular and immune cell markers in addition to epithelium.
NICD1 marker annotation
Aiforia Create training window showing annotations for NICD1 protein in multi-channel (Immunofluorescence) human colon tissue, stained with various vascular & immune cell markers in addition to epithelium.
Dermis and epidermis detection
Automated detection of dermis and epidermis of skin tissue sample.
ARDS identification
Acute respiratory distress syndrome (ARDS) lesion segmentation and cell identification.
Salmon skin
Scientists at Nofima used AI to recognize and analyze the successive tissues in Atlantic salmon skin for food safety studies.
Barley
Whole image instance segmentation of barley, including identification of protein matrix, starch, and cell wall.