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Animesh Acharjee
Assistant Professor of Integrative Analytics and AI with extensive experience in health data science and computational biology.
Animesh Acharjee is an Assistant Professor of Integrative Analytics and AI at the University of Birmingham, specializing in Health Data Science. He also serves as the Deputy Programme Director for the MSc in Health Data Science in Dubai. His academic background includes a Bachelor's degree in Electrical Engineering from the North Eastern Regional Institute of Technology (NERIST) in India, a Master's in Bioinformatics from the Institute of Bioinformatics and Applied Biotechnology in Bangalore, India, and a PhD from Wageningen University in the Netherlands, focusing on applied machine learning and data analysis.12
Prior to his current role, Dr. Acharjee held positions at various prestigious institutions, including the University of Cambridge, where he researched metabolic diseases using high-throughput metabolomics and lipidomics technologies. His research interests encompass integrative data analytics, predictive biomarker discovery, and the development of bioinformatics tools for clinical applications. He has published extensively, with over 70 papers to his name, and collaborates with institutions such as Harvard University.134
Dr. Acharjee's work involves integrating multi-omics data to uncover therapeutic and disease mechanisms, utilizing machine learning methods across various diseases. His contributions to the field have been recognized through several fellowships and awards, including those from the British Council and the Dutch Government.23
Highlights
Feeling incredibly proud and excited to host the #Integrative Analytics and AI group alongside my team members Rebecca Hodgkiss, Dr Swarnima, Aniza Aziz, Daniella Okyere, Serena Onwuka, Niyati S. ,Laura Bravo, Dipanwita N., and others. Everyone brought immense value to the effort. I'm looking forward to making an impact together in #interdisciplinary science. Thanks to everyone.
#teamdynamics, #leadership, #IBD, #drugresponse #inflammation.
𝐏𝐮𝐛𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐚𝐥𝐞𝐫𝐭! Gain of function disturbances in nutrient sensing, particularly mTORC1 activity, are linked to age-related diseases. Ketamine and rapamycin, effective for chronic pain and depression, influence mTORC1. This study measured phosphorylated p70S6K, an mTORC1 activity marker, in 27 females with psychiatric diseases to predict medication response. Results showed strong correlations between mTORC1 activity and biometrics, neuropsychiatric profiles, and medication efficacy. Phosphorylated p70S6K was the best predictor for ketamine and rapamycin responses. 𝐓𝐡𝐞 𝐟𝐢𝐧𝐝𝐢𝐧𝐠𝐬 𝐡𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭 𝐭𝐡𝐞 𝐩𝐨𝐭𝐞𝐧𝐭𝐢𝐚𝐥 𝐟𝐨𝐫 𝐚 𝐬𝐢𝐦𝐩𝐥𝐞 𝐚𝐬𝐬𝐚𝐲 𝐭𝐨 𝐜𝐨𝐬𝐭-𝐞𝐟𝐟𝐞𝐜𝐭𝐢𝐯𝐞𝐥𝐲 𝐩𝐫𝐞𝐝𝐢𝐜𝐭 𝐦𝐞𝐝𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐫𝐞𝐬𝐩𝐨𝐧𝐬𝐞 𝐛𝐚𝐬𝐞𝐝 𝐨𝐧 𝐦𝐓𝐎𝐑𝐂1 𝐚𝐜𝐭𝐢𝐯𝐢𝐭𝐲.
https://lnkd.in/ePAH-Kvy
#PharmaceuticalResearch #Psychiatry #mTORC1 #Ketamine #Rapamycin #MentalHealth #Biomarkers #NeuropsychiatricResearch #research #leadership #dataanalytics #datascience #biomarker #aging #age
