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  • ✇Latest Science News -- ScienceDaily
  • JWST’s mysterious little red dots may be black holes growing at incredible speeds
    New supercomputer simulations suggest JWST’s puzzling Little Red Dots are rapidly growing black holes from the early Universe. Extreme radiation may have helped create unusually massive black hole seeds, while dense surrounding gas allowed them to grow dozens of times faster than black holes can today. The simulated objects closely resemble the Little Red Dots seen by Webb. If correct, they could solve the mystery of how enormous black holes formed so soon after the Big Bang.
     

JWST’s mysterious little red dots may be black holes growing at incredible speeds

17 September 2026 at 20:45
New supercomputer simulations suggest JWST’s puzzling Little Red Dots are rapidly growing black holes from the early Universe. Extreme radiation may have helped create unusually massive black hole seeds, while dense surrounding gas allowed them to grow dozens of times faster than black holes can today. The simulated objects closely resemble the Little Red Dots seen by Webb. If correct, they could solve the mystery of how enormous black holes formed so soon after the Big Bang.
  • ✇Latest Science News -- ScienceDaily
  • New mesothelioma drug turns cancer’s own defenses against it
    Scientists are testing a counterintuitive way to fight mesothelioma, an aggressive asbestos-linked cancer with few effective treatments. A new experimental mesothelioma drug kills cancer cells by disabling PRX3, an antioxidant defense that tumors use to survive intense oxidative stress. In an early clinical trial, it controlled disease progression in 67% of patients and produced encouraging survival results, raising hopes that the strategy could eventually be used against other cancers.
     

New mesothelioma drug turns cancer’s own defenses against it

17 September 2026 at 13:11
Scientists are testing a counterintuitive way to fight mesothelioma, an aggressive asbestos-linked cancer with few effective treatments. A new experimental mesothelioma drug kills cancer cells by disabling PRX3, an antioxidant defense that tumors use to survive intense oxidative stress. In an early clinical trial, it controlled disease progression in 67% of patients and produced encouraging survival results, raising hopes that the strategy could eventually be used against other cancers.
  • ✇Latest Science News -- ScienceDaily
  • NASA’s New Horizons spots signs of liquid nitrogen flowing on Pluto
    Scientists have found the first evidence that liquid may have flowed across Pluto’s surface in the recent past. Dark features on the enormous Sputnik Planitia glacier appear consistent with liquid nitrogen rising through cracks from deep beneath the ice. Computer models show that nitrogen could melt at the glacier’s base and travel upward like fluid through small conduits. The finding reveals that Pluto may be much more geologically active than its frozen appearance suggests.
     

NASA’s New Horizons spots signs of liquid nitrogen flowing on Pluto

17 September 2026 at 12:02
Scientists have found the first evidence that liquid may have flowed across Pluto’s surface in the recent past. Dark features on the enormous Sputnik Planitia glacier appear consistent with liquid nitrogen rising through cracks from deep beneath the ice. Computer models show that nitrogen could melt at the glacier’s base and travel upward like fluid through small conduits. The finding reveals that Pluto may be much more geologically active than its frozen appearance suggests.
  • ✇Cell
  • Evolving Cell with evolving science John W. Pham
    I know what you think about papers in Cell. They are long. Mechanistic. “Complete.” They report deep biological insights. I know this because I hear it a lot from researchers. There is truth to it. Cell has published thousands of papers that fit these descriptors, and we will continue to. They have incredible value. But we don’t publish papers in Cell because they are long and mechanistic. We publish them because they are exciting. Cool. Awe-inspiring. We publish them because we think they provi
     

Evolving Cell with evolving science

17 September 2026 at 08:00
I know what you think about papers in Cell. They are long. Mechanistic. “Complete.” They report deep biological insights. I know this because I hear it a lot from researchers. There is truth to it. Cell has published thousands of papers that fit these descriptors, and we will continue to. They have incredible value. But we don’t publish papers in Cell because they are long and mechanistic. We publish them because they are exciting. Cool. Awe-inspiring. We publish them because we think they provide something that our readers will want to learn about and will benefit from.
  • ✇Cell
  • A world model of the virtual cell Eric P. Xing · Le Song
    The virtual cell is envisioned as a multi-modal, multi-scale, and stateful world model that can simulate, perturb, and ultimately program cellular systems. This perspective outlines how this paradigm could transform cell biology from experimental trial-and-error toward simulation-driven discovery, counterfactual exploration, and rational intervention design.
     

A world model of the virtual cell

17 September 2026 at 08:00
The virtual cell is envisioned as a multi-modal, multi-scale, and stateful world model that can simulate, perturb, and ultimately program cellular systems. This perspective outlines how this paradigm could transform cell biology from experimental trial-and-error toward simulation-driven discovery, counterfactual exploration, and rational intervention design.
  • ✇Cell
  • World models for biomedicine Ayush Noori · Nic Fishman · Ada Fang · Lukas Fesser · Marinka Zitnik
    Biological processes continuously adapt in response to intervention. Unlike static predictive models, biomedical world models support action-conditioned simulations for counterfactual reasoning, intervention design, and sequential planning. This perspective defines the key properties of biomedical world models and discusses the data, modeling, and evaluation challenges required to build them across biological and clinical scales.
     

World models for biomedicine

17 September 2026 at 08:00
Biological processes continuously adapt in response to intervention. Unlike static predictive models, biomedical world models support action-conditioned simulations for counterfactual reasoning, intervention design, and sequential planning. This perspective defines the key properties of biomedical world models and discusses the data, modeling, and evaluation challenges required to build them across biological and clinical scales.

Avoiding common failures in AI for health and medicine

Salaudeen et al. review common reliability failures in predictive and generative AI for healthcare, including erroneous model outputs, clinically unjustified performance differences, and deployment-time degradation. They examine why existing technical solutions fall short and argue for lifecycle-aware evaluation, continuous monitoring, and institutional governance.

Changing minds: How AI is transforming the life sciences

Artificial intelligence (AI) is changing the way biomedical research is conducted by making it possible to integrate diverse types of biological data and tackle questions that were previously difficult to address. At the same time, its growing use also raises important questions about data quality, reliability, interpretability, and how computational predictions should be combined with biological knowledge and experimental validation. In this Voices piece, researchers from diverse disciplines share their perspectives on how AI is advancing their respective fields and highlight both the transformative opportunities and the key challenges that will shape the future of the life sciences.

scBaseCount: An AI agent-curated, standardized, auto-updated single-cell data repository

scBaseCount is presently the largest public single-cell RNA-seq repository, containing over 502 million cells across 27 organisms and 75 tissues. An AI agent autonomously discovers, annotates, and uniformly reprocesses all 10× Genomics datasets in the SRA, creating a harmonized, continually updated resource for studying the diversity of cell biology and training AI models.

Tahoe-100M: Mapping drug-induced molecular phenotypes at single-cell resolution

Tahoe-100M is an atlas of 100 million single-cell transcriptomes, capturing how 50 cancer cell lines respond to ∼1,100 drug-dose treatments. By pairing single-cell and molecular phenotypes at scale, the resource links drug mechanisms to cellular responses and provides an openly available substrate for training predictive models of cell behavior.

An open benchmark and language models for AI in aging biology

LongevityBench, Longevity-LLMs, and Longevity Claw evaluate the readiness of the state-of-the-art AI systems for spearheading aging research.
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