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Machine learning assisted raman spectroscopy for the classification of ovarian cancer cells.

Ovarian cancer is one of the most lethal gynecological malignancies, asymptomatic early progression, ineffective screening, and high histological heterogeneity. Accurate subtype classification and detection of chemotherapy resistance are critical for guiding personalized treatment strategies. Raman spectroscopy offers a label-free, non-destructive means of capturing biochemical fingerprints of cel...

What matters most to older adults? A systematic review of preferences for socially assistive robots.

BACKGROUND: The current level of social acceptance of socially assistive robots (SARs) remains limited. Research on user preferences plays an essential role in improving the acceptance of SARs among older adults. This study aimed to integrate evidence on older adults' preferences for SARs to provide personalized guidance and establish a foundation for their future use in home care environments. ME...

Predicting cardiovascular diseases using imbalanced data: An XGBoost-based analysis of the 2022 BRFSS dataset.

BACKGROUND: Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, arising from complex interactions among demographic, clini...

In silico design of stable single-domain antibodies with high affinity.

Designing antibodies is complex and resource intensive. While deep learning and generative approaches have shown promise in the design of protein bind...

Wavelet-Based Frequency Replacement and Edge Enhancement for Semi-Supervised Fetal Ultrasound Image Segmentation.

OBJECTIVES: Ultrasound image segmentation remains a significant challenge due to inherent low contrast and blurred anatomical boundaries. Fully superv...

Cross-omics interpretable neural network for discovery of molecular markers in prostate cancer.

Determining molecular markers that mediate clinically aggressive phenotypes in prostate cancer is a significant challenge. While traditional linear mo...

Automatic measurement and evaluation of anterior segment anatomical structures via UBM images using a deep learning-based approach.

PURPOSE: To develop a deep-learning model capable of measuring essential anterior segment (AS) parameters derived from preoperative ultrasound biomicr...

VisioDECT: A robust dataset for aerial and scenario based multi-drone detection, identification, and neutralization.

The rapid proliferation of unmanned aerial vehicles (UAVs) for logistics, surveillance, and civilian applications continues to pose significant challe...

Emerging Diagnostic Indications for Endoscopic Ultrasound.

Endoscopic ultrasound (EUS) has evolved from a diagnostic imaging tool into a versatile platform that enables high-precision access, sampling, and the...

Chemo-prAIdict Breast: A deep learning solution for predicting residual disease on biopsies of breast cancer patients treated with neoadjuvant chemotherapy.

BACKGROUND: Predicting chemosensitivity before treatment could help tailor neoadjuvant chemotherapy (NAC) in early breast cancer (eBC). Pathological c...

Automated CT-derived body composition predicts pathologic response to neoadjuvant immunotherapy in non-small cell lung cancer.

Tumor-intrinsic biomarkers alone insufficiently predict pathological complete response (pCR) to neoadjuvant immunochemotherapy (NICT) in non-small cel...

Multi-view ensemble learning for EEG-based detection of Obsessive-Compulsive Disorder.

Psychiatric disorders pose a critical challenge in modern healthcare due to their high prevalence, complex symptomatology, and reliance on subjective ...

PyCaret machine learning library with three preprocessing steps after eLORETA source estimation predicts Alzheimer's disease.

Alzheimer's disease (AD) -the most common form of dementia- begins with mild memory loss and gradually progresses, eventually resulting in a generaliz...

Integrated bioinformatics and clinical validation reveals PRDX6 as a mitochondrial hub gene in systemic lupus erythematosus.

OBJECTIVES: Peroxiredoxin 6 (PRDX6), a potent antioxidant enzyme, has garnered considerable interest for its potential involvement in inflammatory dis...

Single‑cell mapping of neutrophil extracellular trap signatures in lung adenocarcinoma reveals immune landscapes, prognostic potential, and therapeutic targets.

Neutrophil extracellular traps (NETs) have emerged as key modulators in the tumor microenvironment, yet their cellular heterogeneity, molecular mechan...

Identification and validation of key autophagy-related genes in Lupus nephritis.

OBJECTIVES: Lupus nephritis (LN) is one of the most common complications of systemic lupus erythematosus. This study aimed to identify key autophagy-r...

Liver cancer segmentator: Metadata-guided confidence scoring for reliable segmentation of colorectal liver metastases in CT.

BACKGROUND AND OBJECTIVE: This study introduces the liver cancer segmentator (LCS), a deep learning model designed for automatic and robust segmentati...

Prompt-Driven ChatGPT Carbon Calculator for Dental Practices: Estimation and Tailored Improvement Strategies.

INTRODUCTION AND AIMS: This study investigates the feasibility of applying ChatGPT, a generative artificial intelligence (AI) language model, to devel...

A CT-based multimodal fusion model for predicting outcomes in blunt chest trauma: A multicenter study.

BACKGROUND: This study aimed to develop a multimodal predictive model that integrates clinical variables, radiomic features (RFs), and deep learning-b...

DNA-Encoded Chemical Library Screening with Target Titration Analysis: DELTA.

DNA-encoded chemical libraries (DELs) enable the highly efficient screening of billions of small molecules for binding to a target of interest and pro...