Transplantation

Cost-effective poly(3-alkylthiophene)-based organic photovoltaics: advancing solar energy conversion and photodetection technologies.

Poly(3-alkylthiophene)s (P3ATs), particularly poly(3-hexylthiophene) are cornerstone materials for o...

Higher glass transition temperatures reduce thermal stress cracking in aqueous solutions relevant to cryopreservation.

Cryopreservation by vitrification could transform fields ranging from organ transplantation to wildl...

Integrative network pharmacology and multi-omics reveal anisodamine hydrobromide's multi-target mechanisms in sepsis.

Sepsis, marked by hyperinflammation and subsequent immunosuppression, lacks effective phase-specific...

AI-assisted intraoperative navigation for safe right liver mobilization in pure laparoscopic donor hepatectomy: an experimental multi-institutional validation study.

Minimally invasive liver surgery (MILS) offers significant benefits but faces limited adoption due t...

Circuit re-construction after traumatic spinal cord injury by cellular and pharmacological approaches.

Extensive neuronal loss, progressive neurodegeneration, and circuit impairment are the key pathologi...

Regulation of the Light Absorption and Photothermal Performance of Melanin-Like Polymers.

ConspectusMelanin-like polymers have attracted significant attention for their excellent light absor...

HLAIIPred: cross-attention mechanism for modeling the interaction of HLA class II molecules with peptides.

We introduce HLAIIPred, a deep learning model to predict peptides presented by class II human leukoc...

Design of highly functional genome editors by modelling CRISPR-Cas sequences.

Gene editing has the potential to solve fundamental challenges in agriculture, biotechnology and hum...

A privacy preserving machine learning framework for medical image analysis using quantized fully connected neural networks with TFHE based inference.

Medical image analysis using deep learning algorithms has become a basis of modern healthcare, enabl...

Predicting the clinical evolution of septic patients from routinely collected data and vital signs variability using machine learning.

The existing literature lacks a comprehensive analysis of the clinical evolution of septic patients,...

A Multi-Model Ensemble for Advanced Prediction of Reverse Osmosis Performance in Full-Scale Zero-Liquid Discharge Systems.

The growing reliance on reverse osmosis (RO) in zero liquid discharge (ZLD) and seawater desalinatio...

An artificial intelligence model to predict mortality among hemodialysis patients: A retrospective validated cohort study.

Hemodialysis stands as the most prevalent renal replacement therapy globally. Accurately identifying...

Smart Detection of Food Spoilage Using Microbial Volatile Compounds: Technologies, Challenges, and Future Outlook.

Microbial volatile organic compounds (MVOCs) serve as early, noninvasive indicators of food spoilage...

AFM-Based Deep Learning Decodes Human Macrophage Mechanophenotypes.

Macrophage polarization into inflammatory (M1) and repairing/healing (M2) functional phenotypes are ...

Gut microbiota and SCFAs improve the treatment efficacy of chemotherapy and immunotherapy in NSCLC.

The role of gut dysbiosis in shaping immunotherapy responses is well-recognized, yet its effect on t...

Toward a unified pipeline for natural product discovery: tools and strategies for NRPS and PKS pathway exploration and engineering.

Covering: up to 2025.Non-ribosomal peptide synthetases and polyketide synthases are modular biosynth...

Role of High Fidelity Vs. Low Fidelity Experimental Data in Machine Learning Model Performance for Predicting Polymer Solubility.

Reliable classification of polymer-solvent compatibility is essential for solution formulation and m...

Predicting Mechanosensitive T Cell Expansion from Cell Spreading.

Variability in T cell performance presents a major challenge to adoptive cellular immunotherapy (ACT...

Comprehensive Characterization of the Immune Microenvironment Based on Nested Resampling Machine Learning Framework Identifies TRAF3 Interacting Protein 3 as a Promising Regulator to Improve the Resistance to Immunotherapy in Glioma.

Diffuse glioma, the most prevalent and malignant intracranial tumor, presents a formidable challenge...

Generating realistic artificial human genomes using adversarial autoencoders.

A publicly available human genome is both valuable to researchers and a risk for its donor. Many act...

Organ-system-based subclassification of preeclampsia using machine learning predicts pregnancy outcomes.