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The Data-Driven Future of Drug Development

DrugBank

Data science has emerged as an innovative tool in the biopharmaceutical industry, leveraging the power of machine learning and artificial intelligence to drive innovation and efficiency across the entire drug development lifecycle. These complex molecules require precise engineering to ensure optimal efficacy and safety.

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The Role of Scientific Expertise in Generic Drug Development

Drug Patent Watch

Generic drug development is a complex process that involves not only scientific and medical expertise but also adherence to strict legal and ethical standards. Scientific expertise plays a crucial role in ensuring that generic drugs are held to the same standards of quality, safety, and efficacy as their brand-name counterparts.

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De-risking drug discovery with predictive AI

Broad Institute

Srijit Seal, a visiting scholar at the Carpenter-Singh Lab in the Broad's Imaging Platform , trained multiple predictive machine learning models to identify chemical and structural drug features likely to cause toxic effects in humans. Pharmacokinetic modeling is difficult, time-consuming, and requires expensive instruments and software.

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Optimizing your ELISA Assays | BMG LABTECH

BMG Labtech

Enzyme-Linked Immunosorbent Assays (ELISAs) are an essential technique in today’s laboratory with many applications in the life sciences. They are often the method of choice to detect or measure specific biological molecules (analytes) for diagnostics, drug discovery or fundamental research.

Vaccine 98
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Five Promising Treatment Areas in Early-Phase Drug Development in 2024

Alta Sciences

Five Promising Treatment Areas in Early-Phase Drug Development in 2024 aasimakopoulos Wed, 04/17/2024 - 15:52 Early-phase drug development is an ever-changing landscape, as emerging science leads to new promising areas of research for the treatment of human health issues.

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Applying Artificial Intelligence to Transform the Patient Enrollment Paradigm in Clinical Research

PPD

Artificial Intelligence (AI) imitates human cognitive functions using computer science, algorithms, machine learning and data sciences. AI can analyze large volumes of data from interventional and non-interventional studies to draw conclusions about a drug’s safety and effectiveness quicker than humans.

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In search of the perfect assay description

The ChEMBL-og

Credit: Science biotech, CC BY-SA 4.0 Assays des cribe the experimental set-up when testing the activity of drug-like compounds against biological targets; they provide useful context for researchers interested in drug-target relationships. Ver sion 33 of ChEMBL contains 1.6 A physicochemical assay.