Chandrasekaran lab
@sriram_lab
Systems biology lab @UMBME. Our lab develops computer models for drug discovery and understanding cellular metabolism.
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.@bmesumich biomedical engineering prof Sriram Chandrasekaran & @sriram_lab study how AI can help predict whether a patient will respond to specific tuberculosis treatments, paving the way for personalized care via @ConversationUS. theconversation.com/ai-can-help-pr…
U-M BME researchers, led by Associate Professor Sriram Chandrasekaran and postdoctoral fellow Awanti Sambarey, developed a multimodal AI model to predict treatment outcomes of TB patients, which may one day lead to the personalization of TB treatment. bme.umich.edu/multimodal-ai-…
Now a U-M BME BSE alum, Alec Eames led a study on using artificial intelligence (AI) to study cell quiescence (cells that are sleeping or dormant). Eames conducted his undergrad research under Associate Professor Sriram Chandrasekaran. Read more: bme.umich.edu/recent-u-m-bme…
Honored to receive the 2023 EBS Teaching Award in Biomedical Engineering today!
Congrats to my first PhD student Scott Campit for defending his thesis! We'll miss you Scott!
Excited to share our latest study published in @PNASNexus today! Led by @caro_chung we explore how metabolic heterogeneity in a population of cells impacts drug interactions using our new algorithm CARAMEL. academic.oup.com/pnasnexus/adva…
Congrats to superstar PhD student @caro_chung for winning the 2022 Robert Beyster Fellowship for Computational Innovation from @UMengineering. The fellowship is given to 4 PhD students across campus working on cutting edge computational approaches.
Today was my last day as a postdoc in @sriram_lab @UMBME! I've met the most incredible people here & Sriram is the best mentor I've worked with truly. So grateful for this transformative journey 🙏🏼 @UMich is an amazing place for research & personal growth! Forever #GoBlue
Congratulations to our graduate student @caro_chung for winning the prestigious Glenn V. Edmonson Scholarship for Graduate Biomedical Engineering @UMBME 🎉The scholarship awards students excelling in the BME graduate program as a researcher & through service & leadership👏🏽
Happy to share our latest algorithm - CAROM, developed by @kirksmith628. CAROM predicts targets of regulation by phosphorylation and acetylation using #cobra #machinelearning #metabolism @iScience_CP cell.com/iscience/fullt…
Big thanks to the Camille and Henry Dreyfus Foundation for the Machine Learning in Chemical Sciences Award! @dreyfusfndn dreyfus.org/dreyfus-progra…
Congratulations to Andrea Valenzuela @andreava2525 from our lab for winning a the Cellular Biotechnology Training Program (CBTP) fellowship @UMich! CBTP provides training in biotechnology & guidance about careers in industry, government, entrepreneurship, policy & academia👏🏽🎉
Sriram has been named one of MIT Tech Review's Top Global Innovators under 35 technologyreview.com/innovator/srir…
technologyreview.com
Sriram Chandrasekaran
His AI systems identify better treatments for tuberculosis.
How do we reintegrate biology? We brainstormed at the 2019 NSF workshop in San Diego and we propose a new way to study biological systems. @UBDVTLab @DrDanosNicole @streamyinphan doi.org/10.1093/icb/ic…
Congratulations to our grad student Carolina Chung @caro_chung for winning the best presentation award in Precision health at the @UMBME symposium! 👏🏽👏🏽 Congratulations & good luck to all the winners and students who shared their wonderful work in the symposium🎉
Our latest paper with @KirschnerDenise, Jennifer Linderman, @JoeCicchese @awanti_sp describes a multiscale pipeline linking drug transcriptomics & pharmacokinetics to predict in vivo interactions of tuberculosis drugs #tuberculosis #drugdiscovery nature.com/articles/s4159…
Sharing a few cool articles on #DeepLearning and #drugdiscovery discussed in our lab lit review today. Deep Learning & Drug Synergy in Cancer: advances.sciencemag.org/content/7/8/ea… cell.com/cancer-cell/fu… Deep Learning & Antibiotics: doi.org/10.1016/j.cell…
A fun collaborative study with the Robinson lab on using AI to predict social interactions and gene regulation in #honeybee colonies just got published in eLife #MachineLearning elifesciences.org/articles/62850
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