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Volume 30 Issue 4, April 2024

Functional precision medicine

In this issue, Azzam and colleagues show that functional precision medicine — a combination of genomic profiling and drug-sensitivity testing of patient-derived tumor cells — can be used to provide personalized treatment recommendations for children and adolescents with relapsed or treatment-refractory cancers. The maze on the cover depicts the challenge of determining the most effective treatment option for pediatric cancers once standard-of-care therapies are no longer an option, and the brain represents functional precision medicine, which could indicate an effective path forward for doctors and their patients.

See De La Rocha et al.

Image: Oscar Negret, Florida International University. Cover design: Debbie Maizels

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Research Briefings

  • Chronic pain is common, with more than one in five adult Americans reporting having pain daily or on most days. A multi-ancestry genomic analysis in 598,339 military veterans in the USA identifies 126 genetic variants associated with pain intensity, highlights shared genetic risk with substance use and psychiatric disorders, and reveals enrichment in GABAergic neurons as a key molecular contributor to experiencing pain.

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  • The implementation of PCR tests of pooled saliva samples for universal screening of congenital cytomegalovirus infection was assessed in 15,805 neonates over 13 months. This extensive analysis revealed the high feasibility and empirical efficiency of the pooled testing approach, which had a clinically insignificant loss of sensitivity.

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  • In a difference-in-differences analysis among Medicare beneficiaries in the USA, billion-dollar weather disasters were associated with higher rates of emergency department visits and deaths in the weeks after the disaster. Observed changes were more pronounced among counties that experienced the most loss and damage compared to all affected counties.

    Research Briefing
  • Clinical disease trajectories that describe neuropsychiatric symptoms were identified using natural language processing for 3,042 brain donors diagnosed with various neurodegenerative disorders. Trajectories revealed distinct temporal patterns that result in the identification of new clinical subtypes, and a subset of misdiagnosed donors.

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Perspectives

  • Causal machine learning methods could be used to predict treatment outcomes for subgroups and even individual patients; this Perspective outlines the potential benefits and limitations of the approach, offering practical guidance for appropriate clinical use.

    • Stefan Feuerriegel
    • Dennis Frauen
    • Mihaela van der Schaar
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Review Articles

  • Recent developments in bioengineering and organic chemistry have enabled targeting of the previously ‘undruggable’ KRAS; this review summarizes the successes, challenges and future of KRAS therapeutics in the clinic.

    • Anupriya Singhal
    • Bob T. Li
    • Eileen M. O’Reilly
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