COVID-19

Machine learning model for predicting a high comprehensive complication index following rectal cancer surgery.

Postoperative complications following rectal cancer surgery can significantly affect patient's health and prognosis. It has been reported that the comprehensive complication index (CCI) is a more sensitive assessment tool for severe complications than the Clavien-Dindo classification (CDC) system. This study aims to construct a predictive model for high postoperative CCI using machine learning met...

Exploring emerging physician competencies: Analyzing insights from medical care influencers on X.

PURPOSE: In the post-COVID era, recognizing evolving physician competencies is crucial for guiding medical education and test development. This study aimed to extract valuable insights concerning emerging physician competencies from influencers' posts on X, leveraging an AI-driven approach. METHOD: Two datasets pertaining to medical competency were analyzed, with posts collected from January 1, 20...

RETRACTED: Polygenic risk score and prostate specific antigen predict death from prostate cancer in men with intermediate aggressive cancer.

Polygenic risk scores (PRS) and the prostate specific antigen (PSA) test have been shown to be successful tools for predicting prostate cancer (PCa) i...

Immune checkpoint molecules as predictive markers of COVID-19 severity: A comprehensive univariable and multivariable analysis.

Immune dysregulation plays a key role in the deterioration of COVID-19. This study evaluated immune checkpoint molecules (ICMs) as markers of disease ...

AlphaMissense prediction for the evaluation of missense variants in the diagnostic setting of neuromuscular disorders.

Next-generation sequencing has improved diagnostic outcomes for neuromuscular disorders, but interpreting rare missense variants remains challenging. ...

Prostate MR image segmentation using a multi-stage network approach.

Prostate cancer (PCa) remains one of the most prevalent cancers among men, with over 1.4 million new cases and 375,304 deaths reported globally in 202...

Residual disease in NPM1-mutated acute myeloid leukemia.

Acute myeloid leukemia (AML) represents a genetically heterogeneous malignancy, with mutations in the nucleophosmin-1 (NPM1) gene identified as the mo...

Mask-Guided and Fidelity-Constrained Deep Learning Model for Accurate Translation of Brain CT Images to Diffusion MRI Images in Acute Stroke Patients.

The early and precise diagnosis of stroke plays an important role in its treatment planning. Computed Tomography (CT) is utilised as a first diagnosti...

Identification of key genes in intracranial aneurysm via WGCNA: insights into immune microenvironment and therapeutic targets.

BACKGROUND: Intracranial aneurysms (IA) are prevalent vascular lesions whose rupture causes subarachnoid hemorrhage with high disability and mortality...

LYnet: Computational identification of tumor T cell antigens using convolutional and recurrent neural networks.

BACKGROUND: Immunotherapy represents a paradigm shift in oncology, offering advantages in efficacy and specificity over traditional therapies. Key to ...

Identification of auricular acupoints using a convolutional neural network.

BACKGROUND: The accurate identification of acupoints is an essential task in acupuncture therapy. Recent advancements in artificial intelligence (AI) ...

Cancer vaccines: Discovery, development, and challenges for clinical translation.

Cancer vaccines stimulate antitumor immunity by delivering tumor antigens and, in recent years, have emerged as a promising therapeutic strategy again...

QDCRNet: Quantum dilated convolutional recurrent network for virus detection using gene expression data.

Viral Infections cause several common human illnesses, like the common cold, flu, mouth blisters, and chickenpox. However, numerous viruses, including...

Identification and Verification of SLC6A15 Involved in Keloid via Bioinformatics Analysis and Machine Learning.

Keloid is a fibroproliferative disorder that poses a challenge in clinical management. This study aims to identify and functionally annotate different...

Neural features underlying high-accuracy classification of amnestic mild cognitive impairment using multi-sensory-evoked potentials.

Early detection of amnestic mild cognitive impairment (aMCI) is crucial for timely interventions. This study combines scalp recordings of lateralized ...

Biomolecular Interaction Prediction in the Pre- and Post-AlphaFold Era: The 8th CAPRI Evaluation.

We report on the 8th CAPRI Evaluation period, capturing the assessment of CAPRI Rounds 47 to 55 (excluding the CASP and COVID-related Rounds), which h...

Tuning antibody stability and function by rational designs of framework mutations.

Artificial intelligence and machine learning models have been developed to engineer antibodies for specific recognition of antigens. These approaches,...

B4GALT3 as a Key Glycosyltransferase Gene in Multiple Myeloma Progression: Insights From Bioinformatics, Machine Learning, and Experimental Validation.

Glycosylation abnormalities are critical in the progression of various cancers. However, their role in the onset and prognosis of multiple myeloma (MM...

Development and validation of a prognostic model for predicting survival and immunotherapy benefits in melanoma based on metabolism-relevant genes.

Skin cutaneous melanoma (SKCM) is a fatal form of skin cancer. Metabolism-related genes (MRGs) comprise a group of genes that possess the ability to m...

Identification of diagnostic biomarkers and dissecting immune microenvironment with crosstalk genes in the POAG and COVID-19 nexus.

An underlying association between primary open-angle glaucoma (POAG) and COVID-19 has been hypothesized, but the causal link and shared mechanisms rem...