BR RISING 2026

Novartis Biomedical Research India

Research, Innovation and Scientific Integration

Building on the success of its inaugural academic symposium in 2025, Novartis Biomedical Research (BR) India is proud to announce its BR RISING (Research, Innovation & Scientific Integration) 2026 Symposium.

BR RISING is designed to deepen engagement with the Indian academic and research community by creating a collaborative platform for scientists and researchers to exchange perspectives, explore scientific advances, and engage in meaningful dialogue across disciplines.

This two-day symposium will bring together some of the country’s brightest minds, distinguished academic researchers, and innovators to highlight groundbreaking advances across key scientific areas relevant to biomedical research and healthcare innovation.

Selected abstracts will be featured alongside invited speaker presentations, offering an opportunity to showcase outstanding research and contribute to rigorous thought-provoking scientific discussions.

Scientific Themes

We invite scientists, innovators, thinkers, and problem solvers from institutions across the country to submit abstracts aligned with the following forward-looking themes:

• Biology: Immunology, Oncology, Neurodegenerative disorders, Cardiovascular and metabolic diseases; Global Health (Malaria, Sickle cell disease)
• Drug modalities: Chemistry (small molecules, PROTACs and peptides), large molecules (antibodies and ADCs), oligonucleotides and siRNAs
• Artificial Intelligence (AI): AI methodologies across drug discovery including imaging, multi-omics, protein structures and sequences, and generative chemistry
• Platforms: Computational biology and mathematical modeling (ODE, PK-PD, PBPK, QSP, ML)
• Predictive and Translational Sciences: Predictive preclinical safety and translational sciences, including early clinical sciences and biomarkers

_{Abbreviations: ADC: Antibody-drug conjugates; ODE: Ordinary Differential Equation; PK-PD: Pharmacokinetics-Pharmacodynamics; PBPK: Physiologically based Pharmacokinetic modeling, QSP: Quantitative Systems Pharmacology,  ML: Machine Learning}

Abstract Submission Guidelines

Abstracts should not exceed 600 words (excluding title and author details) and must include:

• Title
• Author details
• Background and research rationale
• Objectives and aims
• Methodology overview
• Scientific significance and potential impact
• Key supporting publications (separate attachment)

Important Dates

• Last date for questions and clarifications: 17 July, 2026 (contact: [email protected])
• Last date for abstract submission: 24 July, 2026
• Communication to shortlisted participants: 21 August, 2026
• Final events announcement: 31 August, 2026
• BR RISING symposium: 8–9 October, 2026