Latest AI and machine learning research in transplantation for healthcare professionals.
PURPOSE OF REVIEW: Achieving long-term survival after lung transplantation remains a major challenge. Outcome determinants have expanded beyond pathophysiology to include quality of life and patient-reported outcomes. This review summarizes key prognostic factors associated with outcomes and suggests integrated strategies to improve them. RECENT FINDINGS: The primary determinants of long-term surv...
Colorectal cancer (CRC) remains a significant global health concern and is among the leading causes of cancer-related mortality. The disease often progresses to more advanced and treatment-resistant stages. By 2040, the incidence of CRC is projected to increase substantially worldwide, particularly in low- and middle-income countries. Despite the availability of various treatment modalities, CRC i...
BACKGROUND: Vedolizumab, a monoclonal antibody targeting the α4β7 integrin, offers gut-selective immunosuppression and represents a cornerstone biolog...
BACKGROUND: Nonhome discharge (NHD) after lower extremity bypass is associated with discharge delays, increased postdischarge complications, and reduc...
Artificial Intelligence (AI) is becoming a central strategic concern for military powers. Understanding public attitudes toward its use in defense may...
Concerns about the risk of radiation from CT have driven a spectrum of major advances in radiation dose reduction technology since the 2000s, includin...
BACKGROUND: Incident atrial fibrillation (AF) is common following kidney transplantation (KTx) and is associated with worse clinical outcomes. Artific...
In structure-based virtual screening, evaluating the binding free energy of protein-ligand complexes requires accounting for both molecular conformati...
BACKGROUND: Patients undergoing cancer treatment experience a significant symptom burden. The standard process of symptom management includes patient ...
The coronavirus disease 2019 (COVID-19) pandemic had an unprecedented global impact, resulting in both positive and negative consequences. The virus n...
The accurate and transparent estimation of greenhouse gas emissions is essential for corporate sustainability reporting and machine learning applicati...
This paper presents the development of a Part-of-Speech (POS) tagged dataset for Pahari, an under-resourced Indo-Aryan language spoken in Azad Jammu a...
BACKGROUND: Conventional machine learning (ML) models for predicting surgical outcomes have limitations in generalizability We explored large language...
Zolpidem (ZLP), a non-benzodiazepine hypnotic of the imidazopyridine class, is widely prescribed for the short-term management of insomnia owing to it...
Functional precision oncology complements genomic approaches by directly testing treatment options on patient-derived models. However, existing platfo...
Autologous stem-cell transplantation is a fundamental therapy for multiple myeloma. Although inpatient chemo-based stem-cell mobilization (SCM) is sta...
Inclusion of physiologically relevant clearance mechanisms into organ-on-a-chip models is essential to reproduce tissue exposure and predict therapeut...
Electron-transfer (ET) and proton-transfer (PT) events occurring at electrochemical interfaces ultimately dictate the efficiency of electrocatalytic e...
Lithium-sulfur (Li-S) batteries offer a transformative theoretical energy density (∼2600 Wh kg-1), positioning them as strong candidates for next-gene...