COVID-19

Cross Domain Self-Prompting SAM2 for Intraoperative OCT Video Segmentation.

Retinal procedures require precise instrument manipulation to avoid iatrogenic injuries. Intraoperative Optical Coherence Tomography (iOCT) delivers realtime cross-sectional views of tissue-instrument interactions, enabling safer surgical decision-making. Accurate iOCT segmentation would allow the automated estimation of the distance between surgical instruments and retinal surfaces, and the devel...

AI Meets Attitudes: Cross-Sectional Quantitative Study of COVID-19 Vaccine Hesitancy in Alaska's Diverse Communities.

BACKGROUND: The global COVID-19 vaccine rollout faces challenges from persistent hesitancy, especially in rural and underserved regions. Alaska's unique geographic, cultural, and infrastructural challenges create complex dynamics for vaccine uptake. OBJECTIVE: This study uses machine learning on survey data to identify key sociodemographic and attitudinal predictors of hesitancy, informing targete...

Using Machine Learning for Identification of Athlete Availability Predictors in a Multisport Elite Female Athlete Cohort.

Moore, SR, Cantú, EI, Brantner, CL, Britton, ME, DelBiondo, GM, Blue, MNM, Bruinvels, G, Hackney, AC, Register-Mihalik, JK, and Smith-Ryan, AE. Using ...

MRI Radiomics for Preoperative Microvascular Invasion Stratification in Hepatocellular Carcinoma: Comparative Analysis of Intratumoral, Peritumoral, and Combined Intratumoral-Peritumoral Approaches-A Systematic Review and Meta-analysis.

Microvascular invasion (MVI) represents a critical prognostic determinant in hepatocellular carcinoma (HCC), yet preoperative prediction remains chall...

Development of multiphasic CT-based delta-radiomics model for predicting postoperative recurrence risk in bladder cancer.

BACKGROUND: This study aimed to develop a CT-based delta-radiomics model for personalized prediction of postoperative prognosis in bladder cancer pati...

Intelligent machine learning solutions with Bayesian regularization backpropagation adaptive networks for differential systems of Maize streak virus diseases.

Maize streak virus, a cause of maize streak disease, poses a major threat to food security that significantly reduces yields of maize, a crucial food ...

Advancing low-carbon additive manufacturing: an integrated deep learning approach for optimal resource and capacity management.

As Additive Manufacturing (AM) shifts towards Make-to-Order (MTO) models, synchronizing raw material inventory with machine capacity becomes critical ...

Differentially private federated learning for localized control of infectious disease dynamics.

In times of epidemics, swift reaction is necessary to mitigate epidemic spreading. For this reaction, localized approaches have several advantages, li...

Prediction of pathological complete response to neoadjuvant therapy in breast cancer integrating intratumoral and peritumoral delta radiomics with clinical features: a study based on multiparametric MRI.

BACKGROUND: To develop a combined model integrating intratumoral and peritumoral delta-radiomics from multi-parametric MRI with clinical features for ...

AI-driven neoantigen identification: a comprehensive review from somatic variant calling to T cell recognition.

BACKGROUND: Neoantigens-tumor-specific peptides generated by somatic mutations-are central targets of effective anticancer T cell immunity and underpi...

Artificial intelligence-detected HER2 strong-positive tumor proportion predicts FISH positivity and treatment response in breast cancer.

Human epidermal growth factor receptor 2 (HER2)-targeted therapies have revolutionized breast cancer treatment, necessitating standardized HER2 testin...

Integrative single-cell and multi-omics analysis of ZBTB21-mediated serine metabolism in colorectal cancer: from metabolic reprogramming to immune microenvironment modulation.

BACKGROUND: Colorectal cancer (CRC) exhibits pronounced biological diversity, a feature increasingly attributed to alterations in cellular metabolic r...

GLORIF1, a global river flow dataset created by integrating process-based modelling and machine learning.

Accurate streamflow data are essential for managing water resources and enhancing climate resilience worldwide. Yet, existing global streamflow datase...

RankVar: machine learning-based variant ranking and reinterpretation for rare genetic diseases.

BACKGROUND: Prior biological knowledge and phenotype information can help identify disease genes from whole genome/exome sequencing studies, but how b...

Evolving role of biomarkers beyond prostate‑specific antigen in refining prostate cancer screening: From blood‑based tests to urinary and genetic markers (Review).

Prostate‑specific antigen (PSA) screening reduces prostate cancer (PCa) mortality but is limited by overdiagnosis and poor specificity for clinically ...

Unlocking the Regulatory Genome: Interpreting the Clinical Impact of Noncoding Variants in Genetic Cardiomyopathies.

Clinical genetic testing is now the standard of care for cardiomyopathy, guiding risk stratification, clinical management, and earlier diagnosis in fa...

Artificial intelligence in molecular diagnostics for pandemic preparedness.

INTRODUCTION: Molecular diagnostics focusing on the detection and analysis of nucleic acids, are indispensable tools for early pathogen identification...

Network toxicology and multi-omics identify potential interactions between between air pollutants and interferon-related signaling in tuberculosis.

BACKGROUND: Air pollution increases tuberculosis (TB) susceptibility, yet the underlying molecular mechanisms remain elusive. METHODS: We integrated h...

Bridging local-global transmembrane protein contexts with contrastive pretraining for alignment-free pathogenicity prediction.

Predicting the pathogenic consequences of protein mutations is a cornerstone of precision medicine, yet it remains a formidable challenge for transmem...

Pan-cancer analysis of tissue-plasma genomic concordance reveals enhanced concordance with liver metastasis and plasma clonality as predictor of poorer overall survival.

Circulating tumor DNA (ctDNA) enables noninvasive tumor genotyping, yet its concordance with tissue remains unclear. Using a 437-gene panel in 1111 pa...