The evidence behind the platform.

Gathering peer-reviewed clinical data, institutional recognition, and key media updates backing our computational architecture.
Media Reporting

GeneSilico
in the news.

June 2026
NPJ systems biology and applications

Optimizing genomics-aware clinical agents in precision oncology

Optimizing Genomics-Aware Clinical Agents in Precision Oncology explores how AI-powered clinical agents can be enhanced using genomic data to support precision cancer care. The study presents strategies for improving the accuracy, reliability, and clinical usefulness of AI systems that interpret complex molecular profiles, helping clinicians make more informed, personalized treatment decisions for cancer patients.
Dec 2025
IIT Delhi

Prof. Debarka Sengupta Honored With Rashtriya Vigyan Puraskar, 2025

Professor Debarka Sengupta of the Department of Computational Biology at the Indraprastha Institute of Information Technology (IIIT-Delhi) has been awarded the Rashtriya Vigyan Puraskar: Vigyan Yuva–Shanti Swarup Bhatnagar 2025 in Biological Sciences. This is one of India’s highest national honors in science, technology, and innovation, presented by the President of India LIVE: President Droupadi Murmu confers the Rashtriya Vigyan Puraskar 2025
April 2025
elifesciences

SCellBOW: AI-Driven Tumor Risk Stratification from Single-Cell Transcriptomics Using Phenotype Algebra

Artificial Intelligence–Driven Tumor Risk Stratification from Single-Cell Transcriptomics Using Phenotype Algebra introduces SCellBOW, an AI-based computational framework that analyzes single-cell RNA sequencing data to identify high-risk tumor cell populations. By capturing cellular heterogeneity with advanced machine learning techniques, the approach improves cancer risk assessment and supports more precise, personalized treatment strategies in oncology
Oct 2024
medrxiv

Improved precision oncology question-answering using agentic LLM

Discover how GeneSilico’s gSage revolutionizes LLMs in precision oncology, offering accurate and personalized breast cancer treatment recommendations.
Nov 2023
IIT Delhi

Prof. Debarka Sengupta Honored with Merck Young Scientist Award for Pioneering AI Contributions to Cancer Research

The award ceremony, held in Bangalore on November 24th, 2023, stands as a significant milestone in Prof. Sengupta’s illustrious scientific journey, highlighting his unwavering dedication and outstanding contributions to advancing AI applications in cancer research.
June 2023
Pubmed

Dense Dilated Multi-Scale Supervised Attention-Guided Network for histopathology image segmentation

Discover how D2MSA, a cutting-edge deep learning model, revolutionizes histopathology image segmentation to improve cancer diagnosis and assessment.
Sept 2022
Nature Communications

Gene expression based inference of cancer drug sensitivity

Predictive modeling approach to infer treatment response in cancers.
Nov 2022
Communications Biology

Microfluidic live tracking and transcriptomics of cancer-immune cell doublets link intercellular proximity and gene regulation

Examining how cancer and immune cells interact and influence genes using microfluidic technology.
Nov 2022
Pubmed

Marker-free characterization of full-length transcriptomes of single live circulating tumor cells

Explore unCTC, a cutting-edge R package that improves the detection and analysis of circulating tumor cells from single-cell data, offering new insights into metastatic cancer biology.
Oct 2019
Pubmed

Mutational Landscape of the BAP1 Locus Reveals an Intrinsic Control to Regulate the miRNA Network and the Binding of Protein Complexes in Uveal Melanoma

Learn how BAP1 mutations drive metastasis in uveal melanoma and influence cancer progression across multiple tumor types through disrupted protein complexes and miRNA networks.
Nov 2017
Pubmed

Decoding critical long non-coding RNA in ovarian cancer epithelial-to-mesenchymal transition

Discover how the lncRNA DNM3OS drives metastasis in ovarian cancer by regulating EMT, revealing new therapeutic possibilities for improving patient outcomes.
Awards & Recognition

Recognized by
leading institutions.

2025

Nature Publication

Peer-reviewed research published in Nature — the world’s leading scientific journal detailing clinical framework utility.

2025

Humboldt Grant

Alexander von Humboldt Stiftung research award for breakthrough contributions to autonomous oncology AI modeling.

2024-2026

11 Patents Filed

Ten core utility patents covering the causal AI computation engines, Digital Twin construction models, and sequence workflows.

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