Hemophilia

Development of Models for Predicting the 7-Month Risk of Venous Thromboembolism and Clinically Relevant Bleeding in Ambulatory Patients with Cancer: Analysis from the AVERT Trial.

BACKGROUND: Patients with cancer are at elevated risk of venous thromboembolism (VTE). While primary thromboprophylaxis reduces VTE incidence, it also increases bleeding risk, necessitating accurate risk stratification. Existing tools (e.g., Khorana score) have modest predictive value, and bleeding risk models have not been validated in ambulatory cancer patients. OBJECTIVE: To develop and interna...

ELOVL1 promotes the progression of intrahepatic cholangiocarcinoma by enhancing endoplasmic reticulum stress and the PI3K/AKT/mTOR signaling pathway.

BACKGROUND: Intrahepatic cholangiocarcinoma (iCCA) is a highly aggressive liver malignancy characterized by an adverse outcome attributed to delayed detection, elevated recurrence rates, and resistance to chemotherapy. Identifying innovative indicators and therapeutic targets is essential for enhancing iCCA treatment. METHODS: We used bioinformatics, machine learning, and experimental approaches t...

Managing multidrug resistant Gram-negative bacteraemia in immunocompromised hosts.

PURPOSE OF REVIEW: Multidrug-resistant Gram-negative bloodstream infections (MDR-GNBSI) are increasingly frequent in immunocompromised hosts, particul...

Identification of non-hydroxamate histone deacetylase 8 inhibitors using deep learning-based screening of two-dimensional molecular images.

Histone deacetylase 8 (HDAC8) is a zinc-dependent enzyme that deacetylates proteins and is involved in cancer development, making its inhibition a pot...

Integrating QSAR-Machine Learning, Biochemical Assays, and Molecular Dynamics for the Discovery of JAK2 Inhibitors in Cervical Cancer.

Cervical cancer remains a major global health challenge, where dysregulated JAK2 signaling constitutes a key molecular driver. Nevertheless, selective...

Interpretable machine learning for postoperative nausea and vomiting prediction in elderly orthopedic patients: a comparative study.

BACKGROUND: Postoperative nausea and vomiting (PONV) prolongs hospitalization and reduces patient satisfaction. Identifying high-risk elderly patients...

Reconstruction of Molecular Interaction Patterns from Endolysosomes in Ceramide-Depleted Cells.

Ceramide synthase (CerS) is a key enzyme in sphingolipid metabolism, predominantly maintaining lipid homeostasis within the endoplasmic reticulum (ER)...

Establishment of a Highly Accurate and Sensitive Age Prediction Model for Multiple Body Fluids: Blood, Saliva, and Semen Using Pyrosequencing.

DNA methylation-based age prediction has become a reliable method for individual identification. While current models have achieved high accuracy when...

Synthetic inducible bacteria normalize the microenvironment of refractory tumors, potentiating checkpoint inhibitor responses.

Immunotherapy has transformed cancer treatment but remains ineffective in many solid tumors, largely due to the immunosuppressive tumor microenvironme...

A Novel Covalent Inhibitor Fragment for the SARS-CoV-2 Main Protease Identified by Target-Specific Deep Learning.

The SARS-CoV-2 main protease (Mpro, also known as 3CLpro) is an attractive antiviral drug target due to its essential role in viral replication and ab...

Integration Analysis of Bayesian and Machine Learning for Heterogeneity, Biomarkers, and Optimal Combination Regimens of Pucotenlimab in Solid Tumors.

The efficacy of PD-1 inhibitor pucotenlimab (HX008) in solid tumors exhibits heterogeneity. This study integrated data from 6 clinical trials (coverin...

Astragalin alleviates ulcerative colitis via FPR1 inhibition and restores Microbiota-Metabolite Homeostasis: A mechanism revealed by deep learning.

The pursuit of multi-targeted therapies that simultaneously address mucosal immune dysregulation, barrier dysfunction and gut microbiota imbalance in ...

Discovery of novel MDM2 inhibitors from a Penicillium metabolome library: An integrated phylogenetic, machine learning, and molecular simulation approach.

Restoring the tumor-suppressor function of p53 by inhibiting its negative regulator, MDM2, represents a significant therapeutic avenue for cancers tha...

An integrated machine learning and computational framework with experimental validation for the identification of novel CXCR4 inhibitors.

Chemokine receptor 4 (CXCR4) is a clinically significant G protein-coupled receptor implicated in HIV-1 entry, cancer progression, immune regulation, ...

DeepKinomeWeb: a quantitative, panel-level platform for kinase inhibitor screening and selectivity profiling.

Protein kinases are central targets in drug discovery, yet early-stage development of potent and selective inhibitors remains challenging due to high ...

Rotenone impairs osteoclastogenesis by inhibiting cell migration: insights from machine learning.

PURPOSE: The migration and fusion of osteoclast precursors (OCPs) are critical steps in osteoclastogenesis and require substantial energy. Although ox...

Repurposing Clinical Candidates for Nipah and Hendra Viruses.

Nipah virus (NiV) and Hendra virus (HeV) are bat-borne zoonotic paramyxoviruses that cause severe and often fatal respiratory and neurological disease...

Clinical validation and implementation of mSTOP, a machine learning-based, longitudinal prediction model for the early identification of non-small cell lung cancer patients who not benefit from immune checkpoint inhibitor treatment.

OBJECTIVES: There has been a lot of interest in the field of laboratory medicine regarding the use of machine learning (ML)-based prediction models. T...

Evolution and forecasting of antiretroviral therapy utilisation in British Columbia: a population-level analysis of provincial drug treatment programme data, 2014-2024.

OBJECTIVE: To characterise temporal trends in antiretroviral therapy (ART) utilisation and forecast short-term changes in regimen distribution within ...

Serpinh1 promotes fracture healing by enhancing osteogenesis via activation of the Wnt/β-catenin signaling pathway.

BACKGROUND: The process of fracture healing encompasses tightly regulated cellular and molecular interactions. However, the precise regulatory mechani...