Nature
Development and evaluation of deep learning algorithms for assessment of acute burns and the need for surgery
Boissin c, Laflamme L, Lundin M, et al.
2023
Nature
Beneficial behavioral effects of chronic cerebral dopamine neurotrophic factor (CDNF) infusion in the N171-82Q transgenic model of Huntington’s disease
Stepanova P, Kumar D, Cavonius K, et al.
2023
Biomed Central
High relative amount of nodular calcification in femoral plaques is associated with milder lower extremity arterial disease
Azeez M, Laivuori M, Tolva J et al.
2022
PLOS ONE
A deep learning–based algorithm for tall cell detection in papillary thyroid carcinoma
Stenman S, Linder N, Lundin M et al.
2022
Hepathology Research
Automated Image Analysis of Keratin 7 Staining Can Predict Disease Outcome in Primary Sclerosing Cholangitis
Sjöblom N, Boyd S, Manninen A, et al.
2022
Journal of Pathology Informatics
Development and Technical Validation of an Artificial Intelligence Model for Quantitative Analysis of Histopathologic Features of Eosinophilic Esophagitis
Archila LR, Smith L, Sihvo HK, et al.
2022
Acta Neuropathologica Communications
Changes in glial cell phenotypes precede overt neurofibrillary tangle formation, correlate with markers of cortical cell damage, and predict cognitive status of individuals at Braak III-IV stages
Taddei RN, Sanchez-Mico MV, Bonnar O, et al.
2022
Toxicologic Pathology
Deep Learning-Based Segmentation of Morphologically Distinct Rat Hippocampal Reactive Astrocytes After Trimethyltin Exposure
Vuorimaa M, Kareinen I, Toivanen P, et al.
2022
Gastroenterology
Quantitative pathologic analysis of digitized images of colorectal carcinoma improves prediction of recurrence free survival
Pai RK, Banerjee I, Shivji S, et al.
2022
Frontiers in Cellular Neuroscience
A novel automated morphological analysis of Iba1+ microglia using a deep learning assisted model
Stetzik L, Mercado G, Smith L, et al.
2022
Diagnostics
AI Model for Prostate Biopsies Predicts Cancer Survival
Sandeman K, Blom S, Koponen V, et al.
2022
Aiforia Technologies Plc has received funding from the EU H2020 programme.
Brain Communications
Evaluation of ABT-888 in the amelioration of α-synuclein fibril-induced neurodegeneration
Hastings L, Sokratian A, Apicco DJ, et al.
2022
Science Translational Medicine
Distinct populations of highly potent TAU seed conformers in rapidly progressing Alzheimer’s disease
Kim C, Haldiman T, Kang SG, et al.
2022
Cells
Microglia-like Cells Promote Neuronal Functions in Cerebral Organoids
Fagerlund I, Dougalis A, Shakirzyanova A, et al.
2021
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
Hondelink LM, Hüyük M, Postmus PE, et al.
2021
Aiforia Technologies Plc has received funding from the EU H2020 programme.
Neurotherapeutics
MicroRNA-7 Protects Against Neurodegeneration Induced by α-Synuclein Preformed Fibrils in the Mouse Brain
Zhang J, Zhao M, Yan R, et al.
2021
Cell Reports Medicine
Functional diagnostics using fresh uncultured lung tumor cells to guide personalized treatments
Talwelkar SS, Mäyränpää MI, Søraas L, et al.
2021
Nature Cancer
Low neoantigen expression and poor T-cell priming underlie early immune escape in colorectal cancer
Westcott PMK, Sacks NJ, Schenkel JM, et al.
2021
Scientific Reports
Artificial intelligence-based image analysis can predict outcome in high-grade serous carcinoma via histology alone
Laury AR, Blom S, Ropponen T, et al.
2021
Acta Neuropathologica Communications
Deep learning assisted quantitative assessment of histopathological markers of Alzheimer’s disease and cerebral amyloid angiopathy
Perosa V, Scherlek AA, Kozberg MG, et al.
2021
PLOS Pathogens
Hantavirus infection-induced B cell activation elevates free light chains levels in circulation
Hepojoki J, Cabrera LE, Hepojoki S, et al.
2021
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.
Becker G, Michel A, Bahri MA, et al.
2021
Journal of Parkinson's Disease
Neuroprotective Potential of a Small Molecule RET Agonist in Cultured Dopamine Neurons and Hemiparkinsonian Rats
Renko JM, Mahato AK, Visnapuu T, et al.
2021
Molecular and Cellular Neuroscience
Parvalbumin subtypes of cerebellar Purkinje cells contribute to differential intrinsic firing properties
Brandenburg C, Smith LA, Kilander MBC, et al.
2021
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
Vande Casteele N, Leighton JA, Pasha SF, et al.
2021
Diagnostic Pathology
Chronic cholestasis detection by a novel tool: automated analysis of cytokeratin 7-stained liver specimens
Sjöblom N, Boyd S, Manninen A, et al.
2021
The Journal of Pathology
High tumor cell platelet-derived growth factor receptor beta expression is associated with shorter survival in malignant pleural epithelioid mesothelioma
Ollila H, Paajanen J, Wolff H, et al.
2021
International Journal of Molecular Sciences
Glucocerebrosidase Gene Therapy Induces Alpha-Synuclein Clearance and Neuroprotection of Midbrain Dopaminergic Neurons in Mice and Macaques
Sucunza D, Rico AJ, Roda E, et al.
2021
Jama Network Open
Point-of-Care Digital Cytology With Artificial Intelligence for Cervical Cancer Screening in a Resource-Limited Setting
Holmström O, Linder N, Kaingu H, et al.
2021
PLOS Pathogens
Monocyte subset redistribution from blood to kidneys in patients with Puumala virus caused hemorrhagic fever with renal syndrome
Vangeti S, Strandin T, Liu S, et al.
2021
Histopathology
Development and initial validation of a deep learning algorithm to quantify histologic features in colorectal carcinoma including tumour budding/poorly differentiated clusters
Pai RK, Hartman S, Schaeffer DF, et al.
2021
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
Bédard A, Westerling-Bui T, Zuraw A
2021
Aquaculture
Deep neural network analysis - a paradigm shift for histological examination of health and welfare of farmed fish
Sveen L, Timmerhaus G, Johansen LH, Ytteborg E
2021
Toxicologic Pathology
Screening For Bone Marrow Cellularity Changes in Cynomolgus Macaques in Toxicology Safety Studies Using Artificial Intelligence Models
Smith MA, Westerling-Bui T, Wilcox A, Schwartz J
2021
Human Pathology
Artificial intelligence identifies inflammation and confirms fibroblast foci as prognostic tissue biomarkers in idiopathic pulmonary fibrosis
Mäkelä K, Mäyränpää M, Sihvo HK, et al.
2021
PNAS
Machine-learning–driven biomarker discovery for the discrimination between allergic and irritant contact dermatitis
Fortino V, Wisgrill L, Werner P, et al.
2020
Frontiers in Cardiovascular Medicine
Osteoid metaplasia in femoral artery plaques is associated with the clinical severity of lower extremity artery disease in men
Laivuori M, Tolva J, Lokki AI, et al.
2020
PLOS One
A novel deep learning-based point-of-care diagnostic method for detecting Plasmodium falciparum with fluorescence digital microscopy
Holmström O, Stenman S, Suutala A, et al.
2020
AP&T
Evaluating the optimum number of biopsies to assess histological inflammation in ulcerative colitis: a retrospective cohort study
Battat R, Casteele NV, Pai RK, et al.
2020
Brain
Neuropathological correlates of cortical superficial siderosis in cerebral amyloid angiopathy
Charidimou A, Perosa V, Frosch MP, et al.
2020
EBioMedicine
Fetal HLA-G mediated immune tolerance and interferon response in preeclampsia
Wedenoja S, Yoshihara M, Teder H, et al.
2020
Nature Cancer
Keap1 mutation renders lung adenocarcinomas dependent on Slc33a1
Romero R, Sánchez-Rivera FJ, Westcott PMK, et al.
2020
BMC Medical Education
Using online game-based platforms to improve student performance and engagement in histology teaching
Felszeghy S, Pasonen-Seppänen S, Koskela A, et al.
2019
Breast Cancer Research and Treatment
Breast cancer outcome prediction with tumour tissue images and machine learning
Turkki R, Byckhov D, Lundin M, et al.
2019
PLOS One
Detection of breast cancer lymph nodemetastases in frozen sections with a point-ofcare low-cost microscope scanner
Holmström O, Linder N, Moilanen H, et al.
2019
Journal of Clinical Pathology
Deep learning for detecting tumour-infiltrating lymphocytes in testicular germ cell tumours
Linder N, Taylor JC, Colling R, et al.
2019
Journal of Neuroscience Research
Downregulation of tyrosine hydroxylase phenotype after AAV injection above substantia nigra: Caution in experimental models of Parkinson’s disease
Albert K, Voutilainen MH, Domanskyi A, et al.
2018
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
Lokman U, Erickson AM, Vasarainen H, et al.
2018
PNAS
Synergistic neuroprotection by coffee components eicosanoyl-5-hydroxytryptamide and caffeine in models of Parkinson's disease and DLB
Yan R, Zhang J, Park H, et al.
2018
EJN
Implementation of deep neural networks to count dopamine neurons in substantia nigra
Penttinen A, Parkkinen I, Blom S, et al.
2018
Tumor Biology
The prognostic significance of tall cells in papillary thyroid carcinoma: A case-control study
Stenman S, Siironen P, Mustonen H, et al.
2018
AP&T
Reliability of histologic assessment in patients with eosinophilic oesophagitis
Warners MJ, Ambarus CA, Bredenoord AJ, et al.
2018
Med Ed Publish
Student-focused virtual histology education: Do new scenarios and digital technology matter?
Felszeghy S, Pasonen-Seppänen S, Koskela A, et al.
2017
Global Health Action
Point-of-care mobile digital microscopy and deep learning for the detection of soil-transmitted helminths and Schistosoma haematobium
Holmström O, Linder N, Ngasala B, et al.
2017
Journal of Pathology Informatics
Antibody-supervised deep learning for quantification of tumor-infiltrating immune cells in hematoxylin and eosin stained breast cancer samples
Turkki R, Linder N, Kovanen PE, et al.
2016
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
Holmström O, Linder N, Lundin M, et al.
2015
Journal of Pathology Informatics
Exploring viewing behavior data from whole slide images to predict correctness of students’ answers during practical exams in oral pathology
Walkowski S, Lundin M, Szymas J, Lundin J
2015
Journal of Clinical Pathology
Assessment of tumour viability in human lung cancer xenografts with texture-based image analysis
Turkki R, Linder N, Holopainen T, et al.
2015
Mayo Clinic
Additional Validation of a Deep Learning Algorithm to Quantify Histologic Features in Colorectal Carcinoma
Shivji S, Pai R, Rosty C, et al.
2022
Mayo Clinic
Development of an Artificial Intelligence Model for the Evaluation of Histopathologic Features of Eosinophilic Esophagitis
Archila LR, O’Sullivan D, Cardenas-Fernandez MC, et al.
2022
Charles River Laboratories
Artificial Intelligence Enables Efficient and Reproducible Quantitative Rodent Toxicology Ovarian Follicle Evaluation
Rudmann DG, Swanson C, Tarkiainen K, Knuuttila A
2019
University of Helsinki
A Deep Learning Algorithm to Quantify Liver Fat Content in Humans
Qadri S, Ahtiainen L, Boyd S, et al.
2019
Experimentica
Systemically administered Aflibercept protects against the development of neovascular lesions in the mouse laser-induced choroidal neovascularization model
Vähätupa M, Ragauskas S, Žiniauskaite A, et al.
2019
Haukeland University Hospital
Using deep neural networks to count Ki-67 positive cells in neuroendocrine tumors
Mola N, Leh S
2019
University of Helsinki
Deep convolutional neural network-based method for quantification of the pancreatic β-cell mass in mice
Danilova T, Blom S, Ropponen T, et al.
2018
University of Helsinki
Implementation of Neural Networks for studies of brain pathology in Parkinson´s disease
Parkkinen I, Penttinen AM, Kopra J, et al.
2018