AI application examples

Explore case studies and examples of what Aiforia's AI software has enabled across different therapy areas, diseases, and industries. 

Iron deposits

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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Iron detection before Iron detection after


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

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Astrocyte before AI detection Astrocyte after AI detection


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

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AlphaSynuclein before AI detection AlphaSynuclein after AI detection


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

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Neuron quantification before AI detection Neuron quantification after AI detection

Nigra area

Automated nigra area detection.

Nigra before AI detection Nigra after AI detection

Multichannel IF

Multichannel Immunofluoresence: somatic and nuclear detection.

Multichannel IF before AI detection Multichannel IF after AI detection


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

nerve-myelin-axon-fiber-before AI detection nerve-myelin-axon-fiber-after AI detection

Interneurons and Purkinje

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

brain-cell-classification-before AI detection brain-cell-classification-after AI detection


Glia detection in human brain sample.

humanbrain-glia-neuron-before AI detection humanbrain-glia-neuron-after AI detection


Detection of motorneuron in rat biopsy.

rat-motoneuron-before AI detection rat-motoneuron-after AI detection


Automated calculation and scoring of PD-L1. 

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PD-L1 before AI detection PD-L1 after AI detection


Mitosis detection and quantification.

Mitosis before AI detection Mitosis after AI detection


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

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Ki-67 quantification

Tumor grading


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

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NSCLC Tumor-grading-before NSCLC Tumor grading after-1

Tumor grading

Breast Cancer

Automated tumor grading in breast cancer biopsies.

breast-cancer-grading-before AI detection breast-cancer-grading-after AI detection

Tumor grading

Prostate Cancer

Automated tumor grading in prostate cancer biopsies.

prostate cancer grading prostate cancer grading

Biomarker identification


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

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Biomarker identification before Biomarker identification after



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

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liverballooning-before liverballooning-after



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

liver-fibrosis-before liver-fibrosis-after



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

liver-inflammation-before liver-inflammation-after



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

Fat accumulation before Fat accumulation after


Identifying lesions and quantifying cells at Tufts University.

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Tuberculosis before Tuberculosis after


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

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Coronavirus before Coronavirus after


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

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Ocular before Ocular after


Placental tissue analysis

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

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Preeclamtic after Preeclamtic before


Malaria parasite detection from blood smear.

Malaria before Malaria after


Detection of intact yeast cells in bright field images.

Yeast before Yeast after


Endometrial sample analysis

Endometrial epithelium segmentation and leukocute quantification.

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Reproductive endometrial before Reproductive endometrial after


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

Raspiratory disease before Raspiratory disease after


Estrus cycle evaluation

Determining the stages of the estrus cycle in cytological samples.

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Reproductive disease


Preclinical studies
Identification and quantification of ovarian follicles.
Reproductive_ovarian follicles_before Reproductive_ovarian follicles_after

Lung Fibrosis

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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lung-fibrosis-before lung-fibrosis-after

Blood Sample

White blood cell (WBC) count.

WBC-2-before WBC-2-after

Skin Biopsy

Automated detection of dermis and epidermis of skin tissue sample.

skin-biopsy-before skin-biopsy-after


Islet and beta cell classification.

pancreas-islets-betacell-before pancreas-islet-betacell-after

Idiopathic pulmonary fibrosis

Quantitating the absolute number of inflammatory cells in IPF studies.

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Inflammatory Cells Inflammatory Cells AI analysis

Salmon skin

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

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Salmon skin before AI detection Salmon skin after AI detection


Measuring concrete porosity and composition. 

Concrete AI detection

Seeing is believing.
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