Pregnancy

Identifying serum amino acid as biomarkers of gestational diabetes mellitus in second-trimester among Chinese pregnant women: a machine learning-based cross-sectional study.

BACKGROUND: Levels of plasma branched-chain and aromatic amino acids in pregnancy have been associated with gestational diabetes mellitus (GDM), but the metabolic role of serum amino acid (AA) profiles in its pathogenesis remains insufficiently elucidated. OBJECTIVE: This study evaluated the diagnostic potential of second-trimester serum AA profiles, including Cys, Met, Val, Lys, Cit, Tau, Asp, Il...

A Semi-Automated Deep Learning Model for Diagnosing Placenta Accreta Spectrum (COMPAS): Comparison with Radiologists' Interpretations.

Microfluidic electroporation for drug and gene delivery: Driving innovation from single-cell precision to high-throughput preclinical and therapeutic platforms.

Intracellular delivery of therapeutic biomolecules represents a fundamental prerequisite for cell-based therapies and precision medicine, yet existing...

SMC-LUD:Large-Scale B-Mode Liver Ultrasound Dataset for Hepatocellular Carcinoma and Hemangioma Classification.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality globally, and accurate classification of liver lesions using ultrasound ...

Innovative fusion models: elevating preoperative gross ETE prediction in thyroid cancer patients.

The intratumoral and peritumoral architectural heterogeneities of papillary thyroid carcinoma (PTC) are important in preoperative prediction of gross ...

Artificial intelligence-assisted spatial omics-based biomimetic nanoplatform for intelligent and precise intervention in the immunosuppressive core region of ovarian cancer.

Ovarian cancer (OC) ranks among the most aggressive malignancies of the female reproductive system. The immunosuppressive tumor microenvironment (TME)...

AI-Driven Analysis of the Fetal Left Ventricular Outflow Tract: Diagnostic Value and Applications.

OBJECTIVES: To develop and validate a deep-learning pipeline that identifies left ventricular outflow tract (LVOT) views in routine obstetric screenin...

Silent Signals: The Expanding Role of Cell-Free DNA in Women's Health, Pregnancy, and Reproductive Medicine.

Cell-free DNA (cfDNA) is an emerging biomarker detectable in various bodily fluids, with promising implications across a wide range of clinical domain...

Automated interpretation of fetal cardiac function evaluation from the echocardiogram.

Prenatal assessment of fetal cardiac function is crucial for predicting neonatal outcomes, yet manual echocardiographic measurements are labor-intensi...

Enhanced Transcytosis and Retention (ETR) of Drug Delivery Nanocarrier in Solid Tumors.

ConspectusTranscytosis, traditionally regarded as biological, constitutes an intrinsic and powerful pathway for macromolecule transport across endothe...

Leads-Adaptive Fetal Electrocardiogram Extraction Using Attention-Based BiLSTM.

Extracting the fetal electrocardiogram (fECG) from the abdominal electrocardiogram (AECG) will  help clinicians accurately discern fetal cardiac rhyth...

Incidence rate of and risk factors for anorectal diseases in primiparae in the first 6 weeks following delivery.

OBJECTIVES: We aimed to explore the incidence rate of and risk factors for anorectal diseases in primiparae in the first 6 weeks following delivery, a...

Disentangling Near-Road Emission Inequities in Hong Kong through Data-Driven Spatiotemporal Traffic Dynamics.

Traffic emissions contribute disproportionately to exposure inequities in dense cities. Delivery fleets and public buses can intensify these burdens i...

Applications of artificial intelligence algorithms in ultrasound-based kidney stone detection, classification, prediction, and management: a systematic review.

BACKGROUND: Kidney stones are a prevalent urological condition with significant global burden, often diagnosed using ultrasound (US) as a first-line m...

Prediction of gestational status nineteen days after artificial insemination using color ultrasonography and machine learning strategies in beef heifers.

Exploration and Performance Analysis of Deep Learning Applications in Spermatic Vein Ultrasound Segmentation.

Varicocele is a common cause of male infertility, with ultrasound (US) serving as the primary diagnostic tool. Current practice relies on manual, subj...

Improving Maternal Health Equity and Outcomes Through the Development of a Clinician-Informed Algorithm: A Feasibility Study.

OBJECTIVE: Increasing proportions of adverse maternal health outcomes occur in the 12-month postpartum period and could be addressed in outpatient set...

Race/ethnicity, disability, and antenatal depression in the United States: population-level insights from machine learning.

OBJECTIVE: Women with intersecting identities, such as being both Black and disabled, face heightened risk of antenatal depression, yet few studies ex...

Precise oxygen therapy to emphysema patients by fuzzy-based gain tuning control of set-point regulated MRAC.

Emphysema, a primary component of chronic obstructive pulmonary disease (COPD), causes progressive dyspnea through the destruction of alveolar membran...

Ultrasound Video-Based Deep Learning Model for Predicting Axillary Lymph Node Status and Nodal Burden in Breast Cancer.

RATIONALE AND OBJECTIVES: Accurate preoperative assessment of axillary lymph node (ALN) status and nodal burden is crucial for individualized manageme...