Unlocking the Capabilities of Large Language Models for Accelerating Drug Development von Anderson, Wes, Braun, Ian, Bhatnagar, Roopal, Romero, Klaus, Walls, Ramona, Schito, Marco, Podichetty, Jagdeep T.

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Artificial Intelligence: From Buzzword to Useful Tool in Clinical Pharmacology von Shahin, Mohamed H., Barth, Aline, Podichetty, Jagdeep T., Liu, Qi, Goyal, Navin, Jin, Jin Y., Ouellet, Daniele

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How can natural language processing help model informed drug development?: a review von Bhatnagar, Roopal, Sardar, Sakshi, Beheshti, Maedeh, Podichetty, Jagdeep T

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T1dCteGui: A User‐Friendly Clinical Trial Enrichment Tool to Optimize T1D Prevention Studies by Leveraging AI/ML Based Synthetic Patient Population von Pauley, Mike, Henscheid, Nick, David, Sarah E., Karpen, Stephen R., Romero, Klaus, Podichetty, Jagdeep T.

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Qualifying a novel clinical trial endpoint (iBOX) predictive of long-term kidney transplant outcomes von Klein, Amanda, Loupy, Alexandre, Stegall, Mark, Helanterä, Ilkka, Kosinski, Luke, Frey, Eric, Aubert, Olivier, Divard, Gillian, Newell, Kenneth, Meier-Kriesche, Herwig-Ulf, Mannon, Roslyn B., Dumortier, Thomas, Aggarwal, Varun, Podichetty, Jagdeep T., O’Doherty, Inish, Gaber, Ahmed Osama, Fitzsimmons, William E.

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Machine Learning in Drug Discovery and Development Part 1: A Primer von Talevi, Alan, Morales, Juan Francisco, Hather, Gregory, Podichetty, Jagdeep T., Kim, Sarah, Bloomingdale, Peter C., Kim, Samuel, Burton, Jackson, Brown, Joshua D., Winterstein, Almut G., Schmidt, Stephan, White, Jensen Kael, Conrado, Daniela J.

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Qualifying a Novel Clinical Trial Endpoint (iBOX) Predictive of Long-Term Kidney Transplant Outcomes von Klein, Amanda, Loupy, Alexandre, Stegall, Mark, Helanterä, Ilkka, Kosinski, Luke, Frey, Eric, Aubert, Olivier, Divard, Gillian, Newell, Kenneth, Meier-Kriesche, Herwig-Ulf, Mannon, Roslyn, Dumortier, Thomas, Aggarwal, Varun, Podichetty, Jagdeep T., O’Doherty, Inish, Gaber, Ahmed Osama, Fitzsimmons, William E.

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Accelerating healthcare innovation: the role of Artificial intelligence and digital health technologies in critical path institute’s public‐private partnerships von Podichetty, Jagdeep T., Sardar, Sakshi, Henscheid, Nick, Lee, Grace V., Abrams, J. Rubin, Anderson, Wes, Ma, Shu Chin, Romero, Klaus

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Leveraging Real‐World Data for EMA Qualification of a Model‐Based Biomarker Tool to Optimize Type‐1 Diabetes Prevention Studies von Podichetty, Jagdeep T., Lang, Patrick, O’Doherty, Inish M., David, Sarah E., Muse, Rhoda N., Karpen, Stephen R., Song, Laura Sue, Romero, Klaus, Burton, Jackson K.

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Type 1 diabetes prevention clinical trial simulator: Case reports of model‐informed drug development tool von Morales, Juan Francisco, Klose, Marian, Hoffert, Yannick, Podichetty, Jagdeep T., Burton, Jackson, Schmidt, Stephan, Romero, Klaus, O'Doherty, Inish, Martin, Frank, Campbell‐Thompson, Martha, Haller, Michael J., Atkinson, Mark A., Kim, Sarah

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Application of computational fluid dynamics in tissue engineering von Patrachari, Anirudh R., Podichetty, Jagdeep T., Madihally, Sundararajan V.

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Modeling of porous scaffold deformation induced by medium perfusion von Podichetty, Jagdeep T., Madihally, Sundararajan V.

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Disease progression joint model predicts time to type 1 diabetes onset: Optimizing future type 1 diabetes prevention studies von Morales, Juan Francisco, Muse, Rhoda, Podichetty, Jagdeep T., Burton, Jackson, David, Sarah, Lang, Patrick, Schmidt, Stephan, Romero, Klaus, O'Doherty, Inish, Martin, Frank, Campbell‐Thompson, Martha, Haller, Michael J., Atkinson, Mark A., Kim, Sarah

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Application of machine learning to predict reduction in total PANSS score and enrich enrollment in schizophrenia clinical trials von Podichetty, Jagdeep T., Silvola, Rebecca M., Rodriguez‐Romero, Violeta, Bergstrom, Richard F., Vakilynejad, Majid, Bies, Robert R., Stratford, Robert E.

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Multiple approaches to predicting oxygen and glucose consumptions by HepG2 cells on porous scaffolds in an axial-flow bioreactor von Podichetty, Jagdeep T., Bhaskar, Prasana R., Singarapu, Kumar, Madihally, Sundararajan V.

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Modeling Pressure Drop Using Generalized Scaffold Characteristics in an Axial-Flow Bioreactor for Soft Tissue Regeneration von Podichetty, Jagdeep T., Bhaskar, Prasana R., Khalf, Abdurizzagh, Madihally, Sundararajan V.

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Open Data Revolution in Clinical Research: Opportunities and Challenges von Shahin, Mohamed H., Bhattacharya, Sanchita, Silva, Diego, Kim, Sarah, Burton, Jackson, Podichetty, Jagdeep, Romero, Klaus, Conrado, Daniela J.

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Pharmacokinetics of Basiliximab for the Prevention of Graft‐versus‐Host Disease in Patients Undergoing Hematopoietic Cell Transplantation with Minimal‐Intensity Cyclophosphamide an... von Podichetty, Jagdeep T., Brinda, Bryan J., Nelson, Robert P., Karr, Alissa H., Prasad, Nagendra K., Quinney, Sara, Foxworthy Scott, Susanna, Kiel, Patrick J.

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Dynamics of diffusivity and pressure drop in flow-through and parallel-flow bioreactors during tissue regeneration von Podichetty, Jagdeep T., Dhane, Dhananjay V., Madihally, Sundararajan V.

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The feasibility of genome-scale biological network inference using Graphics Processing Units von Thiagarajan, Raghuram, Alavi, Amir, Podichetty, Jagdeep T, Bazil, Jason N, Beard, Daniel A

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