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Tarini Shankar Ghosh on Muck Rack

Tarini Shankar Ghosh

As seen in: Nature, Gut Journal, MDPI, Cell Reports
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Articles

Gut microbiome features associated with Bifidobacterium colonization predict personalized probiotic persistence patterns

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By Sourav Goswami, Alisha Ansari, Paul O’Toole, Fergus Shanahan, Vineet Ahuja, Tarini Shankar Ghosh, Chetan Saraf
| Nature Verified
Abstract Bifidobacteria are key health-associated members of the human gut microbiome and are widely used as probiotics, but their colonization success varies substantially between individuals, partly due to baseline microbiome composition. We analyzed 51,244 gut microbiomes from 149 cohorts (45 countries) to identify non-Bifidobacterial taxa associated with the Bifidobacterial features.
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Toward a health-associated core keystone index for the human gut microbiome

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By Abhishek Goel, Omprakash Shete, Sourav Goswami, Amit Samal, Saurabh Kedia, Vineet Ahuja, Paul O’Toole, Fergus Shanahan, Tarini Shankar Ghosh, Lavanya C.B
| Cell Reports Verified
STAR★Methods REAGENT or RESOURCESOURCEIDENTIFIER Deposited Data Publicly Available Data European Nucleotide Archives (ENA) and curatedMetagenomicData Accession numbers are listed in Table S1A, Table S1D and Table S1E. https://doi.org/10.1038/nmeth.4468 Analyzed Data This Study https://doi.org/10.5281/zenodo.14742683 Software and Algorithms Rstudio v4.3.1 RStudio Team (2020) https://posit.co/download/rstudio-desktop/ RGUI v4.3.1 NA https://www.r-project.org/ Spingo Allard et al.
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Discovering geroprotectors through the explainable artificial intelligence-based platform AgeXtend - Nature Aging

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By Anmol Sharma, Tarini Shankar Ghosh
| Nature Verified
Abstract Aging involves metabolic changes that lead to reduced cellular fitness, yet the role of many metabolites in aging is unclear. Understanding the mechanisms of known geroprotective molecules reveals insights into metabolic networks regulating aging and aids in identifying additional geroprotectors. Here we present AgeXtend, an artificial intelligence (AI)-based multimodal geroprotector prediction platform that leverages bioactivity data of known geroprotectors.
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