Remove Drugs Remove Marketing Remove Pharmacokinetics
article thumbnail

De-risking drug discovery with predictive AI

Broad Institute

Still, more than 90 percent of drug candidates fail in clinical trials, with even more that never make it to the clinical stage. Many drugs fail because they simply aren’t safe. Seal began this work after wondering if more toxicology insights could be gleaned from a drug candidate’s chemical structure.

article thumbnail

FDA Releases Draft Guidance on Essential Drug Delivery Outputs

FDA Law Blog: Biosimilars

Lenz, Principal Medical Device Regulation Expert — For several years, FDA has requested that sponsors of drug or biologic led combination products identify essential performance requirements (EPRs) related to the device constituent in their applications. By Adrienne R. does not use this term.

FDA 105
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Drug-induced long QT syndrome: Concept and non-clinical models for predicting the onset of drug-induced torsade de pointes in patients in compliance with ICH E14/S7B guidance [Minireview]

ASPET

ICH established S7B and E14 guidelines in 2005 to prevent drug-induced torsade de pointes (TdP), effectively preventing the development of high-risk drugs. However, those guidelines unfortunately hampered the development of some potentially valuable drug candidates despite not being proven to be proarrhythmic.

article thumbnail

Developing the next generation of antibody drug conjugates

Drug Target Review

What are the primary methods used for bioconjugation in antibody drug-conjugate (ADC) development, and how do they influence the stability and efficacy of the resulting ADCs? Despite excellent pharmacokinetic and stable antibody-linker connections, such ADCs have yet to receive market approval.

article thumbnail

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.

article thumbnail

Why are Post-Approval Pregnancy Studies Post-Marking Requirements Rather Than Post-Marketing Commitments?

FDA Law Blog: Drug Discovery

A review of FDA’s Postmarketing Requirements and Commitments database reveals that one of the most common reasons FDA requires postmarketing studies is to assess the impact of a drug on maternal and fetal outcomes when taken by pregnant women. For many drugs, both a registry and an outcomes study are required.

article thumbnail

How GPCR agonists, including antibodies, are shaping the future of metabolic care

Drug Target Review

G protein-coupled receptors (GPCRs) represent a cornerstone of modern drug discovery due to their crucial role in regulating human physiology and their involvement in numerous diseases. In the early days, each GPCR target required its own structure-modulating ConfoBody to be identified before starting any drug discovery.