The efficacy of AI agents in healthcare research is hindered by their
reliance on static, predefined strategies. This creates a critical limitation:
agents can become better tool-users but cannot learn to become better strategic
planners, a crucial... read more
BACKGROUND: Vector-borne diseases caused by Aedes mosquitoes remain a major public health concern across tropical and subtropical regions. Geographic Information Systems (GIS) have become integral in surveillance by enabling spatial analysis, risk ma... read more
Journal of imaging informatics in medicine
Aug 4, 2025
A digital twin is a computational model that provides a virtual representation of a specific physical object, system, or process and predicts its behavior at future time points. These simulation models form computational profiles for new diagnosis an... read more
Molecularly imprinted photonic crystal hydrogel (MIPCH) serves as a highly effective platform for the sensitive and selective detection of various analyte molecules. In this study, we present a smartphone-based inverse opal MIPCH (IOMIPCH) sensor des... read more
BACKGROUND: Machine learning and artificial intelligence are increasingly being applied to identify phenotypically causal genetic variation. These data-driven methods require comprehensive training sets to deliver reliable results. However, large unb... read more
Generative modeling of high-frequency limit order book (LOB) dynamics is a
critical yet unsolved challenge in quantitative finance, essential for robust
market simulation and strategy backtesting. Existing approaches are often
constrained by simpli... read more
Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
Aug 4, 2025
BACKGROUND: The Cancer Screening Research Network (CSRN) is a new clinical trials network funded by the National Cancer Institute. The first CSRN study, the Vanguard Study, will assess the feasibility of using multi-cancer detection (MCD) tests in fu... read more
Recent research in deep-learning-based foundation models promises to learn representations of single-cell data that enable prediction of the effects of genetic perturbations. Here we compared five foundation models and two other deep learning models ... read more
BACKGROUND: Robotic Total Knee Arthroplasty (rTKA) has become increasingly popular. Intraoperative manual planning of femur and tibia implant positions in all degrees of freedom to achieve surgeon-defined targets and limits of bone cuts, gaps, and al... read more
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