Life Sciences

185 items

NVIDIA Research Sep 24, 2026
NVIDIA joined a coalition including Google DeepMind and EMBL-EBI to infer and openly release predicted 3D structures of protein complexes for more than 2,800 viruses using AlphaFold2 with the NVIDIA BioNeMo inference runtime, deposit them in the AlphaFold Database, and open-source the BioNeMo Structure Prediction Pipeline used to generate them, with about 30% of the protein interactions being entirely new to science.
NVIDIA joined a coalition including Google DeepMind and EMBL-EBI to infer and openly release predicted 3D structures of protein complexes for more than 2,800 viruses using AlphaFold2 with the NVIDIA BioNeMo inference runtime, deposit them in the AlphaFold Database, and open-source the BioNeMo Structure Prediction Pipeline used to generate them, with about 30% of the protein interactions being entirely new to science.
NVIDIA, Google DeepMind and EMBL-EBI openly released predicted protein-complex structures for more than 2,800 viruses, about 30% of them interactions never previously documented
NVIDIA joined a coalition including Google DeepMind and EMBL-EBI to infer and openly release predicted 3D structures of protein complexes for more than 2,800 viruses using AlphaFold2 with the NVIDIA BioNeMo inference runtime, deposit them in the AlphaFold Database, and open-source the BioNeMo Structure Prediction Pipeline used to generate them, with about 30% of the protein interactions being entirely new to science.
NVIDIA joined a coalition including Google DeepMind and EMBL-EBI to infer and openly release predicted 3D structures of protein complexes for more than 2,800 viruses using AlphaFold2 with the NVIDIA BioNeMo inference runtime, deposit them in the AlphaFold Database, and open-source the BioNeMo Structure Prediction Pipeline used to generate them, with about 30% of the protein interactions being entirely new to science.
Frontiers in Animal Science Sep 24, 2026
Using 20 eighteen-month-old pregnant crossbred replacement heifers averaging 383 kg, this study fed 0.0%, 0.5%, 1.0%, and 2.0% North Atlantic brown seaweed (Atlantic GRO®, made of Laminaria longicruris and Fucus vesiculosus) on a dry matter basis over a 50-day performance trial, then measured gas emissions in 16 of them with headbox metabolic chambers for two 24-h periods; no supplementation level adversely affected growth performance (p > 0.51), while the 1.0% and 2.0% groups emitted about 8.2% and 8.7% less methane than controls (p < 0.05), with significantly lower carbon dioxide emissions and oxygen consumption as well (p < 0.05).
Using 20 eighteen-month-old pregnant crossbred replacement heifers averaging 383 kg, this study fed 0.0%, 0.5%, 1.0%, and 2.0% North Atlantic brown seaweed (Atlantic GRO®, made of Laminaria longicruris and Fucus vesiculosus) on a dry matter basis over a 50-day performance trial, then measured gas emissions in 16 of them with headbox metabolic chambers for two 24-h periods; no supplementation level adversely affected growth performance (p > 0.51), while the 1.0% and 2.0% groups emitted about 8.2% and 8.7% less methane than controls (p < 0.05), with significantly lower carbon dioxide emissions and oxygen consumption as well (p < 0.05).
Adding 1.0% and 2.0% North Atlantic brown seaweed to pregnant replacement heifers cut methane emissions by about 8.2% and 8.7% without affecting growth performance
Using 20 eighteen-month-old pregnant crossbred replacement heifers averaging 383 kg, this study fed 0.0%, 0.5%, 1.0%, and 2.0% North Atlantic brown seaweed (Atlantic GRO®, made of Laminaria longicruris and Fucus vesiculosus) on a dry matter basis over a 50-day performance trial, then measured gas emissions in 16 of them with headbox metabolic chambers for two 24-h periods; no supplementation level adversely affected growth performance (p > 0.51), while the 1.0% and 2.0% groups emitted about 8.2% and 8.7% less methane than controls (p < 0.05), with significantly lower carbon dioxide emissions and oxygen consumption as well (p < 0.05).
Using 20 eighteen-month-old pregnant crossbred replacement heifers averaging 383 kg, this study fed 0.0%, 0.5%, 1.0%, and 2.0% North Atlantic brown seaweed (Atlantic GRO®, made of Laminaria longicruris and Fucus vesiculosus) on a dry matter basis over a 50-day performance trial, then measured gas emissions in 16 of them with headbox metabolic chambers for two 24-h periods; no supplementation level adversely affected growth performance (p > 0.51), while the 1.0% and 2.0% groups emitted about 8.2% and 8.7% less methane than controls (p < 0.05), with significantly lower carbon dioxide emissions and oxygen consumption as well (p < 0.05).
Frontiers in Psychology Sep 24, 2026
The study proposes a "gravity-awareness" framework in which two models trained on parabolic-flight literature — CorticalG, a Fourier-feature-augmented multilayer perceptron predicting g-dependent EEG band-power change, and PhysioG, eleven independent Gaussian processes predicting heart-rate variability, electrodermal activity and motor measures — are complemented by Claude 3.5 Sonnet generating first-person narratives of awareness at 0 g, lunar 0.16 g, Martian 0.38 g and hypergravity; results show alpha (DMN) and mu (SMN) suppression in microgravity, elevated beta (PFC) and gamma in hypergravity, a V-shaped electrodermal response (right-hand conductance rising over 200% at 1.8 g) and an inverted-U trunk-activity pattern (dropping over 50% at 0 g).
The study proposes a "gravity-awareness" framework in which two models trained on parabolic-flight literature — CorticalG, a Fourier-feature-augmented multilayer perceptron predicting g-dependent EEG band-power change, and PhysioG, eleven independent Gaussian processes predicting heart-rate variability, electrodermal activity and motor measures — are complemented by Claude 3.5 Sonnet generating first-person narratives of awareness at 0 g, lunar 0.16 g, Martian 0.38 g and hypergravity; results show alpha (DMN) and mu (SMN) suppression in microgravity, elevated beta (PFC) and gamma in hypergravity, a V-shaped electrodermal response (right-hand conductance rising over 200% at 1.8 g) and an inverted-U trunk-activity pattern (dropping over 50% at 0 g).
CorticalG and PhysioG predict EEG and physiological responses to gravity, while Claude 3.5 Sonnet generates first-person narratives of altered-gravity awareness
The study proposes a "gravity-awareness" framework in which two models trained on parabolic-flight literature — CorticalG, a Fourier-feature-augmented multilayer perceptron predicting g-dependent EEG band-power change, and PhysioG, eleven independent Gaussian processes predicting heart-rate variability, electrodermal activity and motor measures — are complemented by Claude 3.5 Sonnet generating first-person narratives of awareness at 0 g, lunar 0.16 g, Martian 0.38 g and hypergravity; results show alpha (DMN) and mu (SMN) suppression in microgravity, elevated beta (PFC) and gamma in hypergravity, a V-shaped electrodermal response (right-hand conductance rising over 200% at 1.8 g) and an inverted-U trunk-activity pattern (dropping over 50% at 0 g).
The study proposes a "gravity-awareness" framework in which two models trained on parabolic-flight literature — CorticalG, a Fourier-feature-augmented multilayer perceptron predicting g-dependent EEG band-power change, and PhysioG, eleven independent Gaussian processes predicting heart-rate variability, electrodermal activity and motor measures — are complemented by Claude 3.5 Sonnet generating first-person narratives of awareness at 0 g, lunar 0.16 g, Martian 0.38 g and hypergravity; results show alpha (DMN) and mu (SMN) suppression in microgravity, elevated beta (PFC) and gamma in hypergravity, a V-shaped electrodermal response (right-hand conductance rising over 200% at 1.8 g) and an inverted-U trunk-activity pattern (dropping over 50% at 0 g).
Developmental Science Sep 24, 2026
The authors propose a density model of an agent's own multimodal sensory experience, called the "self-prior," and embed it in an active inference framework based on the free energy principle, so that behavioral references arise purely from an intrinsic process minimizing mismatches between average past sensory experience and current observations; in a simulated environment the agent spontaneously reaches toward a tactile stimulus without external reward.
The authors propose a density model of an agent's own multimodal sensory experience, called the "self-prior," and embed it in an active inference framework based on the free energy principle, so that behavioral references arise purely from an intrinsic process minimizing mismatches between average past sensory experience and current observations; in a simulated environment the agent spontaneously reaches toward a tactile stimulus without external reward.
A self-prior in active inference lets an agent spontaneously reach toward a tactile stimulus
The authors propose a density model of an agent's own multimodal sensory experience, called the "self-prior," and embed it in an active inference framework based on the free energy principle, so that behavioral references arise purely from an intrinsic process minimizing mismatches between average past sensory experience and current observations; in a simulated environment the agent spontaneously reaches toward a tactile stimulus without external reward.
The authors propose a density model of an agent's own multimodal sensory experience, called the "self-prior," and embed it in an active inference framework based on the free energy principle, so that behavioral references arise purely from an intrinsic process minimizing mismatches between average past sensory experience and current observations; in a simulated environment the agent spontaneously reaches toward a tactile stimulus without external reward.
Nature News Sep 24, 2026
A genome-wide association study of 27,885 people using GLP1 receptor agonists identified a missense variant in GLP1R associated with weight-loss efficacy (about 0.76 kg additional weight loss per effect allele), plus GLP1R and GIPR signals for nausea and vomiting (the GIPR association restricted to tirzepatide users), and used these to build combined genetic and non-genetic models that stratify patients by efficacy and side-effect risk in held-out electronic health record data.
A genome-wide association study of 27,885 people using GLP1 receptor agonists identified a missense variant in GLP1R associated with weight-loss efficacy (about 0.76 kg additional weight loss per effect allele), plus GLP1R and GIPR signals for nausea and vomiting (the GIPR association restricted to tirzepatide users), and used these to build combined genetic and non-genetic models that stratify patients by efficacy and side-effect risk in held-out electronic health record data.
A 23andMe genome-wide study of 27,885 people links GLP1R and GIPR variants to GLP-1 weight-loss response and nausea or vomiting risk
A genome-wide association study of 27,885 people using GLP1 receptor agonists identified a missense variant in GLP1R associated with weight-loss efficacy (about 0.76 kg additional weight loss per effect allele), plus GLP1R and GIPR signals for nausea and vomiting (the GIPR association restricted to tirzepatide users), and used these to build combined genetic and non-genetic models that stratify patients by efficacy and side-effect risk in held-out electronic health record data.
A genome-wide association study of 27,885 people using GLP1 receptor agonists identified a missense variant in GLP1R associated with weight-loss efficacy (about 0.76 kg additional weight loss per effect allele), plus GLP1R and GIPR signals for nausea and vomiting (the GIPR association restricted to tirzepatide users), and used these to build combined genetic and non-genetic models that stratify patients by efficacy and side-effect risk in held-out electronic health record data.
Nature News Sep 24, 2026
On 24 September, researchers added more than 8,000 predicted viral protein dimers from 23 virus families to the AlphaFold Protein Structure Database as part of a new pandemic preparedness portal; the structures were generated with AlphaFold2 from an analysis of 41,774 proteins from about 2,800 viruses, and 2,749 homodimers and 5,279 heterodimers were judged accurate enough to be included.
On 24 September, researchers added more than 8,000 predicted viral protein dimers from 23 virus families to the AlphaFold Protein Structure Database as part of a new pandemic preparedness portal; the structures were generated with AlphaFold2 from an analysis of 41,774 proteins from about 2,800 viruses, and 2,749 homodimers and 5,279 heterodimers were judged accurate enough to be included.
AlphaFold database adds more than 8,000 viral protein dimers and launches a pandemic preparedness portal
On 24 September, researchers added more than 8,000 predicted viral protein dimers from 23 virus families to the AlphaFold Protein Structure Database as part of a new pandemic preparedness portal; the structures were generated with AlphaFold2 from an analysis of 41,774 proteins from about 2,800 viruses, and 2,749 homodimers and 5,279 heterodimers were judged accurate enough to be included.
On 24 September, researchers added more than 8,000 predicted viral protein dimers from 23 virus families to the AlphaFold Protein Structure Database as part of a new pandemic preparedness portal; the structures were generated with AlphaFold2 from an analysis of 41,774 proteins from about 2,800 viruses, and 2,749 homodimers and 5,279 heterodimers were judged accurate enough to be included.
Quanta Magazine Sep 23, 2026
Chemist Gregory Scholes and colleagues, across several papers over the past three years, propose and demonstrate that complex networks of many interacting classical oscillators can give rise to emergent states mathematically describable as vectors in a Hilbert space, thereby mimicking qubits, superposition and interference in a "quantumlike" way, offering an alternative route for quantum biology that does not rely on genuine quantum coherence.
Chemist Gregory Scholes and colleagues, across several papers over the past three years, propose and demonstrate that complex networks of many interacting classical oscillators can give rise to emergent states mathematically describable as vectors in a Hilbert space, thereby mimicking qubits, superposition and interference in a "quantumlike" way, offering an alternative route for quantum biology that does not rely on genuine quantum coherence.
Scholes proposes life may not use real quantum effects but classical oscillating networks that mathematically mimic quantum behavior
Chemist Gregory Scholes and colleagues, across several papers over the past three years, propose and demonstrate that complex networks of many interacting classical oscillators can give rise to emergent states mathematically describable as vectors in a Hilbert space, thereby mimicking qubits, superposition and interference in a "quantumlike" way, offering an alternative route for quantum biology that does not rely on genuine quantum coherence.
Chemist Gregory Scholes and colleagues, across several papers over the past three years, propose and demonstrate that complex networks of many interacting classical oscillators can give rise to emergent states mathematically describable as vectors in a Hilbert space, thereby mimicking qubits, superposition and interference in a "quantumlike" way, offering an alternative route for quantum biology that does not rely on genuine quantum coherence.
bioRxiv Sep 23, 2026
This work presents Speciesformer, a cross-species generative single-cell foundation model pretrained on SpeciesCorpus (about 131 million cells from 11 species, 154 tissues, and more than 923 cell types) that maps species-specific genes into a shared evolution-informed gene space via a macrogene vocabulary, whose encoder learns transferable cell and gene representations and whose unified generative decoder supports bidirectional generation between transcriptomic states and biological text as well as prediction of post-perturbation transcriptomes from initial cell states and intervention descriptions, reporting performance above existing baselines across multiple benchmarks.
This work presents Speciesformer, a cross-species generative single-cell foundation model pretrained on SpeciesCorpus (about 131 million cells from 11 species, 154 tissues, and more than 923 cell types) that maps species-specific genes into a shared evolution-informed gene space via a macrogene vocabulary, whose encoder learns transferable cell and gene representations and whose unified generative decoder supports bidirectional generation between transcriptomic states and biological text as well as prediction of post-perturbation transcriptomes from initial cell states and intervention descriptions, reporting performance above existing baselines across multiple benchmarks.
Speciesformer: Learning Conserved Cellular States for Cross-Species Generative Virtual Cell Modeling
This work presents Speciesformer, a cross-species generative single-cell foundation model pretrained on SpeciesCorpus (about 131 million cells from 11 species, 154 tissues, and more than 923 cell types) that maps species-specific genes into a shared evolution-informed gene space via a macrogene vocabulary, whose encoder learns transferable cell and gene representations and whose unified generative decoder supports bidirectional generation between transcriptomic states and biological text as well as prediction of post-perturbation transcriptomes from initial cell states and intervention descriptions, reporting performance above existing baselines across multiple benchmarks.
This work presents Speciesformer, a cross-species generative single-cell foundation model pretrained on SpeciesCorpus (about 131 million cells from 11 species, 154 tissues, and more than 923 cell types) that maps species-specific genes into a shared evolution-informed gene space via a macrogene vocabulary, whose encoder learns transferable cell and gene representations and whose unified generative decoder supports bidirectional generation between transcriptomic states and biological text as well as prediction of post-perturbation transcriptomes from initial cell states and intervention descriptions, reporting performance above existing baselines across multiple benchmarks.
Anthropic Sep 23, 2026
Anthropic's life sciences research group gave Claude a prompt to search for reverse transcriptases (RTs); roughly 950 agents spent 21 hours and 210 million tokens combing DNA sequence databases, gathering over 200,000 RTs, picking out 3,500 new candidate systems and narrowing them to the 20 most-compelling candidates, and one agent spotted an evenly spaced tandem repeat array plus an accessory protein of unknown function beside the gene for an odd-looking RT in a jumbo phage; the team then tested it in the lab, finding that the array is expressed as a set of distinct short RNAs, and named this previously uncharacterized three-part system found mainly in bacteriophages array-associated reverse transcriptases (ART).
Anthropic's life sciences research group gave Claude a prompt to search for reverse transcriptases (RTs); roughly 950 agents spent 21 hours and 210 million tokens combing DNA sequence databases, gathering over 200,000 RTs, picking out 3,500 new candidate systems and narrowing them to the 20 most-compelling candidates, and one agent spotted an evenly spaced tandem repeat array plus an accessory protein of unknown function beside the gene for an odd-looking RT in a jumbo phage; the team then tested it in the lab, finding that the array is expressed as a set of distinct short RNAs, and named this previously uncharacterized three-part system found mainly in bacteriophages array-associated reverse transcriptases (ART).
Claude autonomously discovers a novel enzyme system, ART, with CRISPR-like repeats
Anthropic's life sciences research group gave Claude a prompt to search for reverse transcriptases (RTs); roughly 950 agents spent 21 hours and 210 million tokens combing DNA sequence databases, gathering over 200,000 RTs, picking out 3,500 new candidate systems and narrowing them to the 20 most-compelling candidates, and one agent spotted an evenly spaced tandem repeat array plus an accessory protein of unknown function beside the gene for an odd-looking RT in a jumbo phage; the team then tested it in the lab, finding that the array is expressed as a set of distinct short RNAs, and named this previously uncharacterized three-part system found mainly in bacteriophages array-associated reverse transcriptases (ART).
Anthropic's life sciences research group gave Claude a prompt to search for reverse transcriptases (RTs); roughly 950 agents spent 21 hours and 210 million tokens combing DNA sequence databases, gathering over 200,000 RTs, picking out 3,500 new candidate systems and narrowing them to the 20 most-compelling candidates, and one agent spotted an evenly spaced tandem repeat array plus an accessory protein of unknown function beside the gene for an odd-looking RT in a jumbo phage; the team then tested it in the lab, finding that the array is expressed as a set of distinct short RNAs, and named this previously uncharacterized three-part system found mainly in bacteriophages array-associated reverse transcriptases (ART).
Nature News Sep 23, 2026
A single-nucleus RNA-sequencing atlas of the human dorsolateral prefrontal cortex built from nearly 1,500 donors and more than 6.3 million nuclei, together with the companion statistical tool Dreamlet, characterizes cell-type-specific transcriptional changes across eight brain disorders, reports shared cross-disease signatures, cell-composition shifts along Alzheimer's disease progression, and marked up-regulation of PTPRG in microglia.
A single-nucleus RNA-sequencing atlas of the human dorsolateral prefrontal cortex built from nearly 1,500 donors and more than 6.3 million nuclei, together with the companion statistical tool Dreamlet, characterizes cell-type-specific transcriptional changes across eight brain disorders, reports shared cross-disease signatures, cell-composition shifts along Alzheimer's disease progression, and marked up-regulation of PTPRG in microglia.
A Six-Million-Cell Map of Gene Activity in the Human Prefrontal Cortex: How the PsychAD Cohort and Dreamlet Push Brain-Disease Research to Population Scale
A single-nucleus RNA-sequencing atlas of the human dorsolateral prefrontal cortex built from nearly 1,500 donors and more than 6.3 million nuclei, together with the companion statistical tool Dreamlet, characterizes cell-type-specific transcriptional changes across eight brain disorders, reports shared cross-disease signatures, cell-composition shifts along Alzheimer's disease progression, and marked up-regulation of PTPRG in microglia.
A single-nucleus RNA-sequencing atlas of the human dorsolateral prefrontal cortex built from nearly 1,500 donors and more than 6.3 million nuclei, together with the companion statistical tool Dreamlet, characterizes cell-type-specific transcriptional changes across eight brain disorders, reports shared cross-disease signatures, cell-composition shifts along Alzheimer's disease progression, and marked up-regulation of PTPRG in microglia.

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