PGI scientific meet focuses on tech, compassion in healthcare

The 65th Annual Scientific Conference of the National Academy of Medical Sciences (India) — NAMSCON 2025 — opened today at the Postgraduate Institute of Medical Education and Research (PGIMER) here, marking the beginning of three days of intense scientific deliberation, innovation and academic celebration. Over 300 leading medical professionals, researchers and academics from across India have gathered for this event.

With sessions on artificial intelligence, critical care and health system preparedness, the day underscored how technology-driven solutions can coexist with empathy in patient care.

Reflecting on the success of the opening day, Prof Vivek Lal, Director, PGIMER, said, “The first day of NAMSCON 2025 has vividly demonstrated how technology, innovation and empathy can coexist to shape the future of healthcare. Each session reaffirmed our core values — scientific rigour, service to humanity and the drive to translate knowledge into impact.” The partnership between the PGIMER and NAMS (India) reflects a shared commitment to advancing healthcare that is both cutting-edge and compassionate, he added.

The day began with a CME-cum-workshop on critical care and disaster management, where experts discussed strategies for hospital readiness and effective first-response systems in mass emergencies. Scenario-based exercises offered participants practical insights into managing public health crises with efficiency and coordination.

A session on health technology assessment brought together clinicians, policymakers and researchers to deliberate on evidence-informed decision-making and the rational use of medical technologies.

Adding a futuristic dimension, the session on artificial intelligence and OMICS Technologies explored their transformative potential in tackling antimicrobial resistance and improving diagnostic precision. Equally engaging was the workshop on systematic review and Meta-analysis using AI and machine learning, which trained young researchers in advanced data synthesis, promoting transparency and high-quality evidence generation.