Oussama Tchita

ORCID: 0009-0008-0583-1723
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About
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Research Areas
  • Cancer Genomics and Diagnostics
  • Colorectal Cancer Screening and Detection
  • Genetic factors in colorectal cancer
  • AI in cancer detection
  • Radiomics and Machine Learning in Medical Imaging
  • Medical Image Segmentation Techniques

Mismatch Repair Deficiency (dMMR)/Microsatellite Instability (MSI) is a key biomarker in colorectal cancer (CRC). Universal screening of CRC patients for MSI status now recommended, but contributes to increased workload pathologists and delayed therapeutic decisions. Deep learning has the potential ease dMMR/MSI testing accelerate oncologist decision making clinical practice, yet no comprehensive validation clinically approved tool been conducted. We developed MSIntuit, artificial...

10.1038/s41467-023-42453-6 article EN cc-by Nature Communications 2023-11-06

In recent years, the advent of foundation models (FM) for digital pathology has relied heavily on scaling pre-training datasets and model size, yielding large powerful models. While it resulted in improving performance diverse downstream tasks, also introduced increased computational cost inference time. this work, we explore distillation a into smaller one, reducing number parameters by several orders magnitude. Leveraging techniques, our distilled model, H0-mini, achieves nearly comparable...

10.48550/arxiv.2501.16239 preprint EN arXiv (Cornell University) 2025-01-27

e13611 Background: Pathogenic germline BRCA1/2 mutations (g BRCA mut) are critical biomarkers in breast cancer (BC), guiding prevention strategies. However, testing is mainly limited to clinical context of suspected predisposition (family history, young age), leaving up 50% g mut carriers undiagnosed. status increasingly required for therapeutic decisions. Despite breakthroughs capacities analysis, molecular time consuming and requires dedicated facilities remains expensive, limiting its...

10.1200/jco.2025.43.16_suppl.e13611 article EN Journal of Clinical Oncology 2025-05-28

ABSTRACT Objective Mismatch Repair Deficiency (dMMR) / Microsatellite Instability (MSI) is a key biomarker in colorectal cancer (CRC). Universal screening of CRC patients for dMMR/MSI status now recommended, but contributes to increased workload pathologists and delayed therapeutic decisions. Deep learning has the potential ease testing clinical practice, yet no comprehensive validation clinically approved tool been conducted. Design We developed an MSI pre-screening tool, MSIntuit, that...

10.1101/2022.11.17.22282460 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2022-11-18
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