चिकित्सा अनुसंधान में क्या सच बना रहता है | Debashis Sahoo | TEDxSanDiegoSalon

देबाशीष साहू इस पर चर्चा करते हैं कि जीव विज्ञान में स्थिर पैटर्न वैज्ञानिक शोध को अधिक पुनरुत्पादनीय कैसे बना सकते हैं। वे बताते हैं कि मानव जीव विज्ञान की जटिलता के भीतर अपरिवर्तनीय जैविक पैटर्न खोजने में एआई कैसे मदद कर सकता है। उनके अनुसार ये खोजें ऐसे नियमों को उजागर कर सकती हैं जो चिकित्सा को अधिक सटीक और वैज्ञानिक ज्ञान को अधिक विश्वसनीय बनाते हैं। यह प्रस्तुति TEDxSanDiegoSalon कार्यक्रम में दी गई थी।

• अपरिवर्तनीय जैविक पैटर्न खोजने के लिए एआई विधियाँ
• स्थिर पैटर्न और पुनरुत्पादनीय विज्ञान के बीच संबंध
• सटीक चिकित्सा पर संभावित प्रभाव

What if the key to making science more reproducible is hiding in the patterns that never change? In this talk, Debashis Sahoo explores how AI can help us uncover invariant biological patterns hidden within the enormous complexity of human biology—and how these discoveries could reveal the laws that make science more reliable, medicine more precise, and knowledge more trustworthy. Website: https://sites.google.com/view/debashis-sahoo Twitter/X: @sahoo00 LinkedIn: https://www.linkedin.com/in/sahoodebashis/ Facebook: https://www.facebook.com/debashis.sahoo #ReproducibleScience #AIinBiology #FutureOfMedicine #TEDxSanDiego #TEDx #MooresCancerCenter #Bioinformatics #Boolean Analysis #UCSD #AI Debashis Sahoo is a joint Associate Professor of Computer Science and Engineering and Pediatrics at the University of California, San Diego. He earned his B.Tech. from the Indian Institute of Technology, Kharagpur, and his M.S. and Ph.D. from Stanford University. His research bridges artificial intelligence and biology, developing logical and AI-driven methods to uncover invariant biological rules and predict patient responses. His work has led to advances in cancer and translational research, including the identification of CDX2 as a predictive biomarker in colon cancer (NEJM 2016). He is passionate about working at the intersection of disciplines and fostering collaborations among computational scientists, clinicians, and biologists to address real-world translational challenges. His group focuses on translating AI and logical modeling approaches into clinically actionable diagnostics and therapeutics. https://sites.google.com/view/debashis-sahoo This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx