11 papers · ranked by Valyu relevance
Dianzhuo Wang, Qian Xu, Arjun Banerjee, Rishi Jain + 7 more
Inferring biological function from experimental data is central to understanding emerging pathogens and developing effective countermeasures, yet interpreting these data remains slow and expert-intensive. AI agents could help accelerate this process by reasoning across sequence, structural, and biophysical evidence. We…
Ha Young Kim, Hyui Jeong Han, Dongsup Kim
Recent advances in biomolecular structure prediction, exemplified by AlphaFold3, have opened new opportunities for the prediction of TCR-pMHC binding specificity. Although individual AlphaFold3 confidence metrics provide informative binding signals, their predictive performance varies across datasets, highlighting the…
Min Lai, Jin Zhang, Yaer Lv, Chunjie Hou + 7 more
Background High workload and inconsistent quality of ultrasound report writing may lead to diagnostic errors. This study aims to ascertain whether fine-tuned open-source large language models (LLMs) can achieve promising performance for automated quality control of Chinese ultrasound reports, when compared to…
Eliana Torres-Bedoya, Andrew Miles, Justina Ker, Francesca Rotondo + 2 more
Beech leaf disease (BLD), caused by the migratory plant pathogenic nematode, Litylenchus crenatae (LC, Anguinidae) is presently one of the most concerning forest diseases in the United States. BLD has spread rapidly across the landscape and is currently found in 15 U.S. states and Ontario, Canada, making monitoring a…
Niyazi Samet Yilmaz, Bayram Sen, Sena Turkmen, Hikmet Can Çubukçu + 1 more
Title: Graphical abstract
Masafumi Haraguchi, Satoshi Miuma, Yasuhiko Nakao, Kosuke Takahashi + 4 more
To determine whether low physical performance predicts mortality independently of hepatic reserve, HCC, and conventional sarcopenia status, we performed univariate and multivariable Cox proportional hazards analyses of overall survival (Table [tbl-0003]). In the overall cohort (n = 237, 46 deaths), univariate analysis…
Jeremy Yuan-Sheng Leow, Nancy Choon-Si Ng, Rebecca Shin-Yee Wong, Long Chiau Ming + 2 more
Ovarian cancer (OC) remains difficult to detect at an early stage, and current screening approaches using CA125 and transvaginal ultrasonography have not demonstrated sufficient benefit for population screening. DNA methylation is a promising biomarker class because epigenetic alterations may arise early in…
Huihai Wu, Ashleigh Lister, Iain Macaulay, Katie Long + 10 more
Single-cell and spatial transcriptomics are transforming our understanding of cellular heterogeneity and tissue organization, yet their analytical complexity remains a major bottleneck. Here, we present EISCA and EISTA, two standardized, end-to-end pipelines for single-cell RNA- seq and imaging-based spatial…
Roy La Touche, Ferran Cuenca-Martínez, Jose Vicente León-Hernández, Alba Paris-Alemany + 3 more
A series of random-effects meta-analyses were conducted using the metafor package ([https://cran.r-project.org/web/packages/metafor/index.html]()) in R (R Core Team, 2022) in RStudio (Version 2023.06.0-431) , based on the guideline “Doing Meta-analysis with R: A Hands-On Guide” . Standardized mean differences (SMD) and…
Pétur Kristófersson, Sigrún Þóra Sveinsdóttir, Sóley María Kristínardóttir, Stefnir Húni Kristjánsson + 1 more
Cardiovascular markers such as heart rate (HR), heart rate variability (HRV), and blood pressure (BP) are promising for low-intrusive monitoring of mental states relevant to safety-critical performance, yet evidence is mixed regarding which measures are most sensitive to cognitive workload, stress, and fatigue across…
Yarelix Estrada, Jeffery Sauer, Leonardo Dominguez, Mia Borrelli + 2 more
4.1### Limitations The proposed method of concordance analysis has a few limitations worth noting. First, concordance analysis ultimately classifies whether technicians are trained based on a cumulative measure that has no reference standard and is not based on an established definition. There are potential issues with…