Latest AI and machine learning research in leukemia for healthcare professionals.
Human and animal health rely on balancing cell division and cell death to maintain normal homeostasi...
This study aims to apply a multi-modal approach of the deep learning method for survival prediction ...
Patient-focused drug development (PFDD) represents a transformative approach that is reshaping the p...
OBJECTIVES: To develop and validate an interpretable and generalized machine learning model using MR...
Advances in regenerative medicine highlighted the need for label-free cell image analysis to replace...
The subcellular localization of circular RNAs (circRNAs) is crucial for understanding their function...
INTRODUCTION: For patients with breast cancer, the amplification of Human Epidermal Growth Factor 2 ...
BACKGROUND: Low birth weight (LBW) is a critical global health issue that affects infants disproport...
Diabetes Mellitus (DM) is a global health challenge, and accurate early detection is critical for ef...
Next-generation sequencing (NGS) genomic data offer valuable high-throughput genomic information for...
Hepatocellular carcinoma (HCC) is a malignant tumor regulated by the immune system. Immunotherapy us...
The rapid advancement of human-machine interaction (HMI), the Internet of Things (IoTs), and artific...
The surface modification of titanium (Ti) and its alloys is crucial for improving their osteogenic c...
Accurate identification of individuals at high risk for mild cognitive impairment (MCI) among chroni...
BACKGROUND: Head and neck cancers, constituting 3-5% of all cancer cases, often require surgical res...
Despite its importance in understanding biology and computer-aided drug discovery, the accurate pred...
Acute myeloid leukemia (AML) remains a devastating diagnosis in clear need of therapeutic advances. ...
BACKGROUND: Hypertension (HTN) is a global public health concern and a major risk factor for cardiov...
Water scarcity and labor shortage pose significant challenges in rice farming. Direct-seeded rice (D...
PURPOSE: Build machine learning (ML) models able to predict pathological complete response (pCR) aft...
Esophageal squamous cell carcinoma (ESCC), a predominant subtype of esophageal cancer, typically pre...