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    NORTH AMERICAN Newsline                                                  JUNE 12, 2026     |  The Indian Eye 34

                           AI Meets Metabolic Medicine:

             How Cloud Systems Are Personalizing

                                Weight Loss Drug Therapy

            Moving past one-size-fits-all treatments with cloud systems that predict and optimize patient response.

              Shivam Gupta is a Software Development Engi-
              neer at AWS, specializing in distributed systems,
              cloud infrastructure, backend engineering, and ap-
              plied AI. He focuses on building reliable, scalable,
              and observable large-scale production systems.
                  He  holds  a  Master’s  in  Computer  Science
              from the University of Florida, where he researched
              machine learning and generative AI using HiPer-
              Gator supercomputing infrastructure. Previously,
              he built cloud-native backend systems and finan-
              cial data platforms at Barclays. Shivam is also an
              active researcher and keynote speaker at interna-
              tional conferences covering AI, cybersecurity, and   BY SHIVAM GUPTA AND SHIVAI          fully adjusted. Shivai Gupta  an expert in digital bio-
              distributed systems.                                                                     technology, highlights the importance of using bio-
                                                                  eight loss drugs like GLP-1 medications   medical data and machine learning together to better
                                                                  have changed how doctors treat obesity,   understand how the body reacts to these medications.
                                                          Wbut  they  come  with  a  major  challenge.
                                                          Not everyone responds to them in the same way.   However, the goal is not to replace doctors.
                                                          Some people lose significant weight quickly, while
                                                          others see slower or limited results. The question   Instead, it is to give them better tools. AI
                                                          now is not just whether these drugs work, but who   can highlight patterns that are difficult to
                                                          they work best for and why.
                                                             This  is  where  artificial  intelligence  and  cloud   see manually, such as early signs that a
                                                          computing are starting to play an important role. In-  drug is not working well or that a patient
                                                         stead of looking at a patient in isolation, AI systems
                                                         can analyse many signals at once, such as changes in   may experience side effects.
              Shivai is a biotechnology professional with a PhD   body weight over time, eating habits, activity levels
              in Biomedical Sciences (Immunology), specializ-  from wearable devices, medical history, and even   There are still challenges. Health data is often
              ing in life sciences, data engineering, and AI-driv-  how consistently someone takes their medication. By   incomplete, inconsistent, and sensitive. Protecting
              en R&D transformation. Currently a Scientific &   combining all of this information, AI can help predict   patient privacy and ensuring fairness across different
              Digital Solutions Consultant at Genedata (Dana-  how a person might respond to a specific treatment.  populations is critical. There is also the risk of over-re-
              her), she helps global pharma and biotech compa-  Cloud computing makes this possible at scale.   lying on data trends without understanding individual
              nies optimize enterprise platforms and data pipe-  Health data is generated in many places, hospitals,   human differences.
              lines for biologics and bioprocess R&D using SQL   pharmacies,  mobile  apps,  and  fitness  devices.  The   Even with these challenges, the direction is
              and Python. Previously, at the University of Flori-  cloud brings all of this information together securely   clear. Healthcare is slowly shifting from a “one-size-
              da, she led machine learning and in-silico screen-  so it can be analysed in real time. This allows doctors   fits-all”  approach  to  a  more  personalized  system,
              ing research for autoimmune disease therapies,   and health systems to monitor progress continuously   where treatments are continuously refined based on
              contributing to multiple first-author publications.   rather than relying on occasional checkups.  real-world data.
                  She bridges scientific depth with digital fluen-  Shivam Gupta a software developer and expert in   AI and cloud computing are becoming the foun-
              cy to build scalable, analytics-driven frameworks   ML, explains this shift as moving toward predictive   dation  of this  change,  helping  make  weight loss
              for biopharma innovation.                  healthcare systems, where cloud-based AI helps an-  treatment more precise, adaptive, and effective for
                                                         ticipate how patients will respond before treatment is   more people.

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