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Harikrishnan S

Publications and source records attributed to Harikrishnan S.

2 recordsLinked to original sources

Scientific mobility patterns of Indian researchers: Impact on career growth

Scientific mobility shapes individual research careers and national innovation by enabling knowledge exchange, fostering collaborations, and providing access to leading research environments. Studying international mobility patterns of researchers from developing countries offers insights into strengthening domestic scientific ecosystems and addressing talent migration. We analyze the international mobility of India-affiliated researchers using longitudinal affiliation trajectories from the OpenAlex database, covering 157,471 researchers categorized as immobile, returnees, or settled abroad after moving to the US, EU, or other high-income countries. Our analysis shows that 28% experience at least one international move, yet over 73% never return, highlighting persistent brain drain. Internationally mobile researchers predominantly originate from premier Indian institutions. Matched pair analyses demonstrate that mobility yields lasting benefits: citation impact increases, publication rates align with immobile peers, and international collaboration rises-foreign co-author share grows from 52% to 83-87% at transition abroad and remains elevated among returnees (32-40 percentage points across disciplines). Returnees maintain global networks, bridging Indian science with global research. These patterns are consistent across major research disciplines, emphasizing that scientific mobility drives excellence and engagement while posing challenges for developing nations seeking to reintegrate talent.

physics.soc-ph

Development of a Machine Learning Model and Mobile Application to Aid in Predicting Dosage of Vitamin K Antagonists Among Indian Patients

Patients who undergo mechanical heart valve replacements or have conditions like Atrial Fibrillation have to take Vitamin K Antagonists (VKA) drugs to prevent coagulation of blood. These drugs have narrow therapeutic range and need to be very closely monitored due to life threatening side effects. The dosage of VKA drug is determined and revised by a physician based on Prothrombin Time - International Normalised Ratio (PT-INR) value obtained through a blood test. Our work aimed at predicting the maintenance dosage of warfarin, the present most widely recommended anticoagulant drug, using the de-identified medical data collected from 109 patients from Kerala. A Support Vector Machine (SVM) Regression model was built to predict the maintenance dosage of warfarin, for patients who have been undergoing treatment from a physician and have reached stable INR values between 2.0 and 4.0.

q-bio.QM