GeneSilico
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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.
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
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.
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.
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.
Recognized by
leading institutions.
Nature Publication
Peer-reviewed research published in Nature — the world's leading scientific journal detailing clinical framework utility.
Humboldt Grant
Alexander von Humboldt Stiftung research award for breakthrough contributions to autonomous oncology AI modeling.
ICMR Validation
Selected for India's national clinical validation study across healthcare infrastructure by the Indian Council of Medical Research.
11 Patents Filed
Ten core utility patents covering the causal AI computation engines, Digital Twin construction models, and sequence workflows.
Govt. Recognition
Formally recognized for high-impact contributions engineered to scale national healthcare artificial intelligence infrastructure.
Epic Certification
Certified on Epic Marketplace for native EHR data structure integration across high-throughput clinical networks.
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