AI Medical Compendium

Bacterial Outer Membrane Vesicles in Potentiating Cancer Vaccines: Progress and Prospects.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Feb 19, 2026

Cancer immunotherapy is increasingly moving toward personalized, precision-based strategies, with cancer vaccines emerging as a promising approach to reshape treatment. However, despite their potential, current tumor vaccines often yield limited clin... read more

A Deep-Learning-Based Server SecEff-Pred for Predicting Signal Peptide Secretion Efficiency to Improve Protein Production in Bacillus subtilis.

Journal of agricultural and food chemistry Feb 19, 2026

In Bacillus species, the signal peptide (SP) efficiently guiding the protein secretion is crucial for production, yet there is still a lack of reliable computational tools to accurately predict its efficiency. Therefore, we developed SecEff-Pred, a n... read more

Label-Free MicroRNA Diagnostics: From CRISPR Nucleases to Nanomaterial-Enhanced Transducers.

ACS synthetic biology Feb 19, 2026

Label-free detection of microRNAs (miRNAs) has emerged as a pivotal approach in molecular diagnostics, integrating the programmability of CRISPR systems with the high sensitivity of nanomaterial-based transduction. miRNAs are short, noncoding RNAs th... read more

High-throughput label-free assessment of sperm DNA fragmentation index via intelligent morphological imaging.

Lab on a chip Feb 19, 2026

Infertility has emerged as an increasingly serious global public health concern, affecting approximately one in six individuals of reproductive age worldwide, with male-factor infertility accounting for nearly half of all cases. The sperm DNA fragmen... read more

A Unified Machine Learning Model for Relapse Prediction in Clinical Stage I Testicular Cancer.

Andrology Feb 19, 2026

BACKGROUND: Approximately one-fourth of patients with clinical stage I testicular cancer relapse. For decades, risk stratification has been based on different tumor characteristics for seminomas and non-seminomas. Previous studies primarily used Cox ... read more

Automated Detection of Ventilator Asynchronies: A Clinical and Technological Perspective.

Respiratory care Feb 19, 2026

Patient-ventilator asynchrony is highly prevalent during invasive mechanical ventilation, yet its detection at the bedside remains limited. Conventional waveform inspection is intermittent, operator-dependent, and insufficient to capture the complexi... read more

The End of Subjective Grading? Artificial Intelligence-Driven Objective Metrics for Facial Paralysis.

Facial plastic surgery & aesthetic medicine Feb 19, 2026

Discrimination between domestic and imported red chili powders using laser-induced breakdown spectroscopy: variable selection and comparative evaluation of machine learning algorithms.

Analytical methods : advancing methods and applications Feb 19, 2026

Ensuring the authenticity of domestically produced red chili powder is crucial for consumer trust in Korea. Here, laser-induced breakdown spectroscopy (LIBS) was combined with systematic variable selection and multiple machine-learning algorithms to ... read more

The future of periodontology: Emerging technologies and conceptual shifts.

Journal of periodontology Feb 19, 2026

Periodontology is entering a transformative era driven by advances in diagnostics, therapeutics, and digital integration. Emerging technologies and conceptual shifts are currently reshaping the specialty, with a focus on predictive, preventive, and p... read more

Cluster-Validated Graph Neural Network for P-gp Substrate Prediction from Public Data.

Journal of chemical information and modeling Feb 19, 2026

P-glycoprotein (P-gp, MDR1/ABCB1) is a key efflux transporter that limits oral absorption and brain penetration and contributes to clinically relevant drug-drug interactions, yet experimental identification of P-gp substrates is labor-intensive, assa... read more

Artificial Intelligence Medical Compendium