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Evaluating agentic AI for biological discovery in autonomous and copilot settings
Advances in large language models (LLMs)-based artificial intelligence (AI) agents have improved their ability to execute structured analytical workflows, including standard bioinformatic pipelines for biological discovery. However, computational biology rarely consists of deterministic pipeline execution alone. Biological datasets are heterogeneous and noisy, and meaningful discovery often requires open-ended hypothesis generation and iterative reasoning over multimodal evidence.
Florida pastor neglected other kids in her care while her biological daughter ate KFC in front of them: cops
Florida pastor neglected other kids in her care while her biological daughter ate KFC in front of them: cops The five siblings were allegedly forced to eat ramen noodles or school leftovers while Rolle’s biological daughter was given fast food - Bookmark A Florida pastor was arrested after authorities alleged she severely neglected five children in her care, forcing them to use a bucket as a toilet and bathe outside with a garden hose while providing preferential treatment to her biological...
When Are Multimodal Predictions Biologically Supported? A Diagnostic Evaluation Framework
arXiv:2605.31504v1 Announce Type: new Abstract: Multimodal models in oncology can produce accurate predictions, but accurate prediction does not reveal whether the model has learned biology that is shared across modalities, biology confined to one modality, or spurious correlations that reflect confounders rather than genuine biology. We introduce DECAT, a model-agnostic post-hoc evaluation framework that classifies multimodal representations into four diagnostic scenarios for a given task...
Q&A: Most biology education guidelines lack any connection to society, researchers explain why that's a problem
Q&A: Most biology education guidelines lack any connection to society, researchers explain why that's a problem Sadie Harley Scientific Editor Andrew Zinin Lead Editor Is it a doctor's job to get the best outcomes for their patients or to tell the truth? What happens when these two things are not aligned? These are questions that University of Washington students have to wrangle with in Biol 180: Introductory Biology.
Terahertz biophotonics: Understanding the path towards practical applications for biological imaging
Terahertz biophotonics: Understanding the path towards practical applications for biological imaging Gaby Clark Scientific Editor Alexander Pol Deputy Editor Biophotonics is a multidisciplinary field that involves the development and application of light-based technologies to study, monitor and treat biological systems. The ability to directly image cells and molecules has led to many fundamental discoveries in the past century. More recently, the terahertz (THz) region of the...
Reachability-Preserving Minimum Edge Cut Problem and Applications in Biology
Biological pathway analysis often requires identifying interventions that block reachability to an undesirable state, such as a disease-associated module, toxic byproduct, or adverse phenotype, while preserving reachability among essential biological functions. Motivated by this setting, we study the Reachability Preserving Minimum Edge Cut (RPMEC) problem: given protected terminals (s_1) and (s_2) and a target terminal (t), the goal is to remove a minimum-cost set of edges that separates...
SciCore-Omics: a tri-modal foundation model unifying histology, spatial transcriptomics and language for spatial biology
Histomorphology and spatial transcriptomics capture complementary aspects of tissue biology, but their relationships remain difficult to extract, align, and interpret at scale. Existing foundation models typically connect histology, omics, or language only pairwise, which limits their capacity to jointly infer molecular states, decode spatial tissue organization, and generate biologically grounded explanations. Here, we show SciCore-Omics, the first tri-modal foundation model linking...
Expanded implementation of Fast & Fair paid peer review reduces time to first decision without reducing review quality in a biology journal
Traditional peer review is often slowed by delays in identifying willing reviewers and waiting for completed review reports. In a 2024 pilot on the journal Biology Open, we showed that Fast & Fair peer review, which uses pre-contracted paid reviewers and a structured editorial timeline, could deliver rapid, high-quality peer. Here, we report the expanded implementation of Fast & Fair at Biology Open in 2025.
Sex discrimination commissioner slams bid to reinstate biological gender definition
Commissioner condemns 'retrograde' bid to change male and female definitions in Sex Discrimination Act Fri 5 Jun 2026 at 9:01am In short: Australia's sex discrimination commissioner has criticised proposed changes to the Sex Discrimination Act which would change the legal definition of a man and woman to be defined purely by sex. Nationals MP Alison Penfold put forward a private member's bill and petition to change the act, which she said strips the rights of biological females in women-only...
Do Foundation Models See Biology? Evaluating Attention Coherence with Spatial Transcriptomics in Glioblastoma
Announce Type: new Abstract: Whether attention maps from pathology foundation models capture genuine biology remains unknown, yet this question is critical for clinical trust and regulatory approval. We propose a spatial transcriptomics-based framework for orthogonal, hypothesis-free evaluation of attention and apply it to five pathology foundation models (CONCH v1.5, UNI v2, Virchow2, GigaPath, H-Optimus-1) and a ResNet50 baseline. Using attention-based multiple instance learning, we train...