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MedHELM, an extensible evaluation framework including a new taxonomy for classifying medical tasks and a benchmark of many datasets across these categories, enables the evaluation of large language models on real-world clinical tasks.

Humanity’s Last Exam, a multi-modal benchmark at the frontier of human knowledge, is designed to be an expert-level closed-ended academic benchmark with broad subject coverage.

Jang and colleagues demonstrate that GDF3 reshapes the chromatin landscape of inflammatory adipose tissue macrophages and drives endotoxic inflammation with age. Pharmacological inhibition of the GDF3–SMAD2/3 axis alleviates endotoxemia lethality in old mice.

Kinematic measurements of the Perseus galaxy cluster reveal two drivers of gas motions: a small-scale driver in the inner core associated with black-hole feedback and a large-scale driver in the outer core powered by mergers.

A global research network monitoring the Amazon for 30 years reports in this study that tree size increased by 3% each decade.

Drug-induced liver injury is a major cause of patient harm, trial failures, and drug withdrawals. Here, the authors show that a toxicogenomics resource of 300 drugs enables the prediction of liver injury with 88% sensitivity at 100% specificity and reveals mechanisms for safer drug development.

To study pathways that lead to aneuploidy during aging, the authors provide a system that enables cohesion protein depletion in mouse oocytes, mimicking effects that occur during aging. They uncover a threshold for cohesion loss driving chromosome errors and show that actin and centromere defects amplify aneuploidy.

Biomolecular phase separation arises from collective molecular interactions and is emerging as a key theme for biological function. Here the authors propose a broadly applicable method to quantify these interactions based on compositional and energetic parameters.

Impacts from a climate event can cascade through natural, anthropogenic and socio-economic systems. Here the authors assess cascading climate impacts on the EU and identify intervention points for adaptation related to water, livelihoods, agriculture, infrastructure and economy, and violent conflict.

Understanding deregulation of biological pathways in cancer can provide insight into disease etiology and potential therapies. Here, as part of the PanCancer Analysis of Whole Genomes (PCAWG) consortium, the authors present pathway and network analysis of 2583 whole cancer genomes from 27 tumour types.

Multi-omics datasets pose major challenges to data interpretation and hypothesis generation owing to their high-dimensional molecular profiles. Here, the authors develop ActivePathways method, which uses data fusion techniques for integrative pathway analysis of multi-omics data and candidate gene discovery.

Integrative analyses of transcriptome and whole-genome sequencing data for 1,188 tumours across 27 types of cancer are used to provide a comprehensive catalogue of RNA-level alterations in cancer.

XRISM observations show the presence of odd-numbered elements chlorine and potassium in Cas A. These findings suggest that stellar activity plays an important role in cosmic chemical evolution, enriching space with elements vital for planets and life.

Analyses of 2,658 whole genomes across 38 types of cancer identify the contribution of non-coding point mutations and structural variants to driving cancer.

This study showed that vagal sensory neurons in the nodose ganglia selectively encode specific cytokines, enabling real-time body-brain communication of immune signals. This neural encoding of cytokines is disrupted during inflammation associated with a colitis model.

The flagship paper of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium describes the generation of the integrative analyses of 2,658 cancer whole genomes and their matching normal tissues across 38 tumour types, the structures for international data sharing and standardized analyses, and the main scientific findings from across the consortium studies.

Viral pathogen load in cancer genomes is estimated through analysis of sequencing data from 2,656 tumors across 35 cancer types using multiple pathogen-detection pipelines, identifying viruses in 382 genomic and 68 transcriptome datasets.

The authors present SVclone, a computational method for inferring the cancer cell fraction of structural variants from whole-genome sequencing data.

In this study the authors consider the structural variants (SVs) present within cancer cases of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium. They report hundreds of genes, including known cancer-associated genes for which the nearby presence of a SV breakpoint is associated with altered expression.

Analysis of cancer genome sequencing data has enabled the discovery of driver mutations. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium the authors present DriverPower, a software package that identifies coding and non-coding driver mutations within cancer whole genomes via consideration of mutational burden and functional impact evidence.

Many tumours exhibit hypoxia (low oxygen) and hypoxic tumours often respond poorly to therapy. Here, the authors quantify hypoxia in 1188 tumours from 27 cancer types, showing elevated hypoxia links to increased mutational load, directing evolutionary trajectories.

Hypoimmune gene editing in human pluripotent stem cells (hPSCs) provides a promising platform for cellular therapies. Here, the authors report that CRISPR mediated deletion of ICAM-1 in hPSC-derived grafts reduces immune cell adhesion, dampens T cell activation, and protects against immune rejection.

There’s an emerging body of evidence to show how biological sex impacts cancer incidence, treatment and underlying biology. Here, using a large pan-cancer dataset, the authors further highlight how sex differences shape the cancer genome.

An analysis of 2,954 genomes from 38 cancer subtypes identified 19,166 retrotransposition events in 35% of samples. Aberrant LINE-1 retrotranspositions can lead to the deletion of tumor-suppressor genes as well as the amplification of oncogenes.

In somatic cells the mechanisms maintaining the chromosome ends are normally inactivated; however, cancer cells can re-activate these pathways to support continuous growth. Here, the authors characterize the telomeric landscapes across tumour types and identify genomic alterations associated with different telomere maintenance mechanisms.

A pan-cancer genomic analysis reports the effects of structural variations on chromatin domains (TADs). Most TAD disruptions do not result in appreciable changes in expression of nearby genes.

The authors assess the current and future burden of mental and behavioural disorders across Australia. They show that high temperatures contributed 1.8% of Australia’s mental and behavioural disorder burden in the 2010s with expected increases to 2.4–2.8% by the 2050s and highlight the need for both adaptation and mitigation.

With the generation of large pan-cancer whole-exome and whole-genome sequencing projects, a question remains about how comparable these datasets are. Here, using The Cancer Genome Atlas samples analysed as part of the Pan-Cancer Analysis of Whole Genomes project, the authors explore the concordance of mutations called by whole exome sequencing and whole genome sequencing techniques.

Whole-genome sequencing data for 2,778 cancer samples from 2,658 unique donors across 38 cancer types is used to reconstruct the evolutionary history of cancer, revealing that driver mutations can precede diagnosis by several years to decades.

The authors analyse tree responses to an extreme heat and drought event across South America to understand long-term climate resistance. While no more sensitive to this than previous lesser events, forests in drier climates showed the greatest impacts and thus vulnerability to climate extremes.

Melorheostosis is characterized by bone overgrowth and associated with pain and functional impairment. Here, the authors use whole exome sequencing to identify somatic mutations in MAP2K1 in affected bone of melorheostosis patients which is associated with increased proliferation but delayed differentiation of cultured osteoblasts.

What is the state of trust in scientists around the world? To answer this question, the authors surveyed 71,922 respondents in 68 countries and found that trust in scientists is moderately high.

An analysis of 24,202 critical cases of COVID-19 identifies potentially druggable targets in inflammatory signalling (JAK1), monocyte–macrophage activation and endothelial permeability (PDE4A), immunometabolism (SLC2A5 and AK5), and host factors required for viral entry and replication (TMPRSS2 and RAB2A).

Some cancer patients first present with metastases where the location of the primary is unidentified; these are difficult to treat. In this study, using machine learning, the authors develop a method to determine the tissue of origin of a cancer based on whole sequencing data.

The characterization of 4,645 whole-genome and 19,184 exome sequences, covering most types of cancer, identifies 81 single-base substitution, doublet-base substitution and small-insertion-and-deletion mutational signatures, providing a systematic overview of the mutational processes that contribute to cancer development.

A global network of researchers was formed to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity; this paper reports 13 genome-wide significant loci and potentially actionable mechanisms in response to infection.

Whole-genome sequencing data from more than 2,500 cancers of 38 tumour types reveal 16 signatures that can be used to classify somatic structural variants, highlighting the diversity of genomic rearrangements in cancer.

Whole-genome sequencing, transcriptome-wide association and fine-mapping analyses in over 7,000 individuals with critical COVID-19 are used to identify 16 independent variants that are associated with severe illness in COVID-19.

Cancers evolve as they progress under differing selective pressures. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, the authors present the method TrackSig the estimates evolutionary trajectories of somatic mutational processes from single bulk tumour data.

Comprehensive integration of gene expression with epigenetic features is needed to understand the transition of kidney cells from health to injury. Here, the authors integrate dual single nucleus RNA expression and chromatin accessibility, DNA methylation, and histone modifications to decipher the chromatin landscape of the kidney in reference and adaptive injury cell states, identifying a transcription factor network of ELF3, KLF6, and KLF10 which regulates adaptive repair and maladaptive failed repair.

Timothy Bestor and colleagues disrupt the Fbxl10 gene in mice, which leads to dense de novo DNA methylation of promoters that are co-occupied by both FBXL10 and by Polycomb repressive complexes. They conclude that FBXL10 protects Polycomb-bound genes from hypermethylation.

Clinical trials testing efficacy of novel HIV treatments rely on analytical treatment interruption (ATI). Using data from 24 prospective studies, the authors here show that the virus becomes detectable after around 16 days of ATI and that only 4% of individuals have sustained control of HIV, providing information for future clinical trial design.

Alternative stable states in forests have implications for the biosphere. Here, the authors combine forest biodiversity observations and simulations revealing that leaf types across temperate regions of the NH follow a bimodal distribution suggesting signatures of alternative forest states.

On the basis of data from >329,000 migratory birds, this study presents multispecies migratory connectivity as a parameter representing exposure to global change and shows that connections between breeding regions in Canada and non-breeding regions in South America are at greatest risk from global change.

This Review provides a critical assessment of current mechanistic and clinical evidence on the interaction between the gut microbiota and mental health to differentiate causative, correlative and bidirectional roles of the gut microbiota in psychiatric disorders. It highlights current priority questions and provides recommendations for the standardization of future studies.