AI application examples

Measuring the quantity and distribution of iron deposits in grey and white matter in Alzheimer's disease studies at Massachusetts General Hospital.

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Quantifying astrocyte reactivity in preclinical neurotoxicity studies at Orion pharmaceutical company. 

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Quantitative assessment of alpha-synuclein pathology in preclinical Parkinson's disease studies at Lundbeck pharmaceutical company.

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Automated neuron quantification for preclinical Parkinson's disease studies at Sanofi.

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Automated nigra area detection.

Multichannel Immunofluoresence: somatic and nuclear detection.

Classification of nerve components, such as myelin, axon, and nerve fibre.

Automated classification of molecular and purkinje layers in brain image with area measurements. Subsequent detection and count of interneurons and purkinje cells.

Glia detection in human brain sample.

Detection of motorneuron in rat biopsy.

Automated calculation and scoring of PD-L1. 

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Mitosis detection and quantification.

Calculating Ki-67 proliferation index for pulmonary carcinoid tumors with AI.

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Automating tumor grading in non-small cell lung cancer (NSCLC) studies at MIT.

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Automated tumor grading in breast cancer biopsies.

Automated tumor grading in prostate cancer biopsies.

Identifying novel prognostic biomarkers in primary sclerosing cholangitis (PSC).

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AI in studying nonalcoholic fatty liver disease (NAFLD) and its capability to segment structures in liver histology.

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Automated quantification of damage and scarring in liver tissue in nonalcoholic fatty liver disease (NAFLD) and nonalcoholic steatohepatitis (NASH).

Automated quantification of inflammation in liver tissue in nonalcoholic fatty liver disease (NAFLD) and nonalcoholic steatohepatitis (NASH).

Automated quantification of fat accumulation in liver tissue in nonalcoholic fatty liver disease (NAFLD) and nonalcoholic steatohepatitis (NASH).

Identifying lesions and quantifying cells at Tufts University.

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Analyzing microscopic images of human blood and tissue to identify patterns of COVID-related disease.

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Neovascular lesion identification in SD-OCT scans for preclinical model development with the contract research organization Experimentica.

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Quantification of HLA-G/CK7 ratios for protein expression in preeclampsia research.

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Malaria parasite detection from blood smear.

Detection of intact yeast cells in bright field images.

Endometrial epithelium segmentation and leukocute quantification.

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Acute respiratory distress syndrome (ARDS) lesion segmentation and cell identification.

Determining the stages of the estrus cycle in cytological samples.

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Charles River Laboratories pathologists are enhancing image analysis in pre-clinical toxicology, lung studies for lung tissue detection, parenchyma, structural collagen, and fibrotic lesions.

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White blood cell (WBC) count.

Automated detection of dermis and epidermis of skin tissue sample.

Islet and beta cell classification.

Quantitating the absolute number of inflammatory cells in IPF studies.

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Scientists at Nofima used AI to recognize and analyze the successive tissues in Atlantic salmon skin.

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Measuring concrete porosity and composition.