Publications
Pathways for Successful AI Adoption in Drug Development
Specific benchmarking practices, the use of Explainable AI and a well-developed technology roadmap are critical success factors to effectively onboard AI/ML for drug development.
Pathways for Successful AI Adoption in Drug Development
Specific benchmarking practices, the use of Explainable AI and a well-developed technology roadmap are critical success factors to effectively onboard AI/ML for drug development.
How Taking Smart Risks Makes Drug Development Less Speculative
Originally published by Forbes Technology Council. It’s impossible to totally eliminate risk in drug discovery. However, AI-driven approaches and other breakthrough technologies are continually proving their worth, helping create tangible efficiencies and better outcomes for drugmakers.
How Taking Smart Risks Makes Drug Development Less Speculative
Originally published by Forbes Technology Council. It’s impossible to totally eliminate risk in drug discovery. However, AI-driven approaches and other breakthrough technologies are continually proving their worth, helping create tangible efficiencies and better outcomes for drugmakers.
In Silico Development of Combinatorial Therapeutic Approaches Targeting Key Signaling Pathways in Metabolic Syndrome
Originally published in Pharmaceutical Research Purpose Dysregulations of key signaling pathways in metabolic syndrome are multifactorial, eventually leading to cardiovascular events. Hyperglycemia in conjunction with dyslipidemia induces insulin resistance and provokes release of proinflammatory cytokines resulting in chronic inflammation, accelerated…
In Silico Development of Combinatorial Therapeutic Approaches Targeting Key Signaling Pathways in Metabolic Syndrome
Originally published in Pharmaceutical Research Purpose Dysregulations of key signaling pathways in metabolic syndrome are multifactorial, eventually leading to cardiovascular events. Hyperglycemia in conjunction with dyslipidemia induces insulin resistance and provokes release of proinflammatory cytokines resulting in chronic inflammation, accelerated…
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A hybrid modeling approach for assessing mechanistic models of small molecule partitioning in vivo using a machine learning integrated modeling platform
Originally published at Nature Scientific Reports Prediction of the first-in-human dosing regimens is a critical step in drug development and requires accurate quantitation of drug distribution. Traditional in vivo studies used to characterize clinical candidate’s volume of distribution are error-prone,…
A hybrid modeling approach for assessing mechanistic models of small molecule partitioning in vivo using a machine learning integrated modeling platform
Originally published at Nature Scientific Reports Prediction of the first-in-human dosing regimens is a critical step in drug development and requires accurate quantitation of drug distribution. Traditional in vivo studies used to characterize clinical candidate’s volume of distribution are error-prone,…
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