DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer

An annotation-free whole-slide training approach to pathological classification of lung cancer types using deep learning

(2021) Chi-Long Chen et al.   Nature Communications

AI-based pathology predicts origins for cancers of unknown primary

(2021) Ming Y. Lu et al.   NATURE

The DNA damage response pathway as a land of therapeutic opportunities for colorectal cancer

(2020) G. Mauri et al.   ANNALS OF ONCOLOGY

Clinical-grade Detection of Microsatellite Instability in Colorectal Tumors by Deep Learning

(2020) Amelie Echle et al.   GASTROENTEROLOGY

Deep Learning Predicts Underlying Features on Pathology Images with Therapeutic Relevance for Breast and Gastric Cancer

(2020) Renan Valieris et al.   Cancers

Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer

(2019) Jakob Nikolas Kather et al.   NATURE MEDICINE

Clinical-grade computational pathology using weakly supervised deep learning on whole slide images

(2019) Gabriele Campanella et al.   NATURE MEDICINE

The Drug Rediscovery protocol facilitates the expanded use of existing anticancer drugs

(2019) D. L. van der Velden et al.   NATURE

Deep learning-based classification of mesothelioma improves prediction of patient outcome

(2019) Pierre Courtiol et al.   NATURE MEDICINE

A Subset of Colorectal Cancers with Cross-Sensitivity to Olaparib and Oxaliplatin

(2019) Sabrina Arena et al.   CLINICAL CANCER RESEARCH

A Novel and Reliable Method to Detect Microsatellite Instability in Colorectal Cancer by Next-Generation Sequencing

(2018) Lizhen Zhu et al.   JOURNAL OF MOLECULAR DIAGNOSTICS

Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas

(2018) Theo A. Knijnenburg et al.   Cell Reports

Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning

(2018) Nicolas Coudray et al.   NATURE MEDICINE

State-of-the-art strategies for targeting the DNA damage response in cancer

(2018) Patrick G. Pilié et al.   Nature Reviews Clinical Oncology

Molecular testing for Lynch syndrome in people with colorectal cancer: systematic reviews and economic evaluation

(2017) Tristan Snowsill et al.   HEALTH TECHNOLOGY ASSESSMENT

HRDetect is a predictor of BRCA1 and BRCA2 deficiency based on mutational signatures

(2017) Helen Davies et al.   NATURE MEDICINE

Integrative Analyses of Colorectal Cancer Show Immunoscore Is a Stronger Predictor of Patient Survival Than Microsatellite Instability

(2016) Bernhard Mlecnik et al.   IMMUNITY

The "cancer immunogram"

(2016) C. U. Blank et al.   SCIENCE

Microsatellite Instability Testing and Its Role in the Management of Colorectal Cancer

(2015) Hisato Kawakami et al.   CURRENT TREATMENT OPTIONS IN ONCOLOGY

Patterns of genomic loss of heterozygosity predict homologous recombination repair defects in epithelial ovarian cancer

(2012) V Abkevich et al.   BRITISH JOURNAL OF CANCER

Ploidy and Large-Scale Genomic Instability Consistently Identify Basal-like Breast Carcinomas with BRCA1/2 Inactivation

(2012) T. Popova et al.   CANCER RESEARCH

Telomeric Allelic Imbalance Indicates Defective DNA Repair and Sensitivity to DNA-Damaging Agents

(2012) Nicolai J. Birkbak et al.   Cancer Discovery

Pathologic Predictors of Microsatellite Instability in Colorectal Cancer

(2008) Joel K. Greenson et al.   AMERICAN JOURNAL OF SURGICAL PATHOLOGY