Latest AI and machine learning research in leukemia for healthcare professionals.
BACKGROUND: Catheter-related thrombosis (CRT) is a serious complication in cancer patients undergoin...
Rice is susceptible to various diseases, including brown spot, hispa, leaf smut, bacterial leaf blig...
Mouse models serve as the most important laboratory resource for both biomedical research and precli...
The viability of cell-based medicinal products (CBMPs) is a critical quality attribute and must be a...
This study aims to predict and diagnose pediatric septic shock through the screening of immune infil...
BACKGROUND: Severe pneumonia has a poor prognosis and high mortality. Current severity scores such a...
Cytochrome P450 3A4 (CYP3A4) is a key mediator in xenobiotic metabolism and drug-drug interactions (...
In this observational study, we used data from 59,936 hospitalized adults to construct a model. For ...
The pharmacological potential of bioactive compounds found in the plant, , have diverse medicinal ap...
BACKGROUND AND PURPOSE: Accurate recurrence risk evaluation in patients with stage II and III colore...
The objective of this study was to develop and evaluate automated machine learning (aML) models for ...
Leukemia patients who receive chemotherapy experience a decline in neutrophils and an increased risk...
BACKGROUND: Accurate prediction of pathologic complete response (pCR) following neoadjuvant immunoth...
INTRODUCTION: Unsupervised machine learning (ML) approaches such as clustering have not been commonl...
RATIONALE: Neoadjuvant chemotherapy (NAC) is a key element of treatment for locally advanced breast ...
The vast amount of registered chemicals leads to a high diversity of substances occurring in the env...
This study investigated the potential of dietary gamma-aminobutyric acid (GABA) inclusion to mitigat...
Chronic myeloid leukemia is a clonal hematologic disease characterized by the presence of the Philad...
Rice crop disease is critical in precision agriculture due to various influencing components and uns...
To assess the efficacy of a deep learning platform for managing symptoms in chemotherapy patients, a...
A thorough understanding of cell-line drug response mechanisms is crucial for drug development, repu...