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From siloed data to breakthroughs: multimodal AI in drug discovery

Drug Target Review

Drug development is plagued by complex challenges, but multimodal AI is unlocking new opportunities. By integrating diverse data sources – from genomics to clinical insights – this approach is accelerating drug discovery, improving patient stratification and boosting success rates. Highlighting data integration.

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Scientific workflow for hypothesis testing in drug discovery: Part 1

Drug Target Review

Without this information, the interpretation of the dataset may be speculative or lead to inaccurate conclusions. For more: [link] ; [link] ; [link] ; [link] Nina Truter Nina Truter is a translational scientist with a deep focus on understanding mechanisms of action in drug development and leveraging disparate datasets in biotech.

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Biochemical assays and deep cyclic inhibition in cancer treatment

Drug Target Review

The clinical-stage oncology company develops medicines for broad populations of cancer patients and aims to achieve universal-RAS activity through deep cyclic inhibition of the mitogen-activated protein kinase (MAPK) pathway, selectively impacting cancer cells while sparing healthy cells.

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Leveraging ADCs in precision oncology strategy

Drug Target Review

We feel that target discovery is the gatekeeper to successful drug development and can maximize our probability of success through diversified and thoughtful partnerships with biopharma. We are excited about our recently announced partnership with Merck KGaA, Darmstadt, Germany to discover and validate novel ADC targets.

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Next Generation Sequencing (NGS) in Clinical Trials: Challenges and Opportunities

Vial

It has become a fundamental tool for researchers to explore the complexities of genetic information and conduct genetic-informed drug development. Sponsors have used NGS to screen patients for clinical trial eligibility and patient stratification , expanded CDx development, and comprehensive genomic profiling (CGP).

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AI-driven drug discovery: insights from Cresset

Drug Target Review

While these models present an informed starting point, it’s important to integrate these insights with human expertise to navigate the complexities of drug discovery. This can result in wasted resources, time, effort and not to mention the potential for false hope in the early stages of drug development.

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Accelerating Drug Discovery Through Repurposing

DrugBank

The pharmaceutical industry grapples with the persistent challenge of high attrition rates and escalating costs inherent in drug development. This necessitates exploring alternative strategies to expedite drug discovery and optimize resource allocation.