Latest AI and machine learning research in hematology for healthcare professionals.
Enhancers are cis-acting sequences that regulate transcription rates of their target genes in a cell-specific manner and harbor disease-associated sequence variants in cognate cell types. Many complex diseases are associated with enhancer malfunction, necessitating the discovery and study of enhancers from clinical samples. Assay for Transposase Accessible Chromatin (ATAC-seq) technology can inter...
Equine platelet-rich plasma (PRP) has been used in horses to repair bone, articular and tendinous lesions, laminitis, and even endometritis. However, platelets have a very limited lifespan, which makes it difficult to prepare and use PRP, except in loco. With the aim to produce PRP with higher platelet viability for clinical purposes, the effects of the cryoprotectants dimethyl sulfoxide (DMSO) an...
Blood pressure is a basic physiological parameter in the cardiovascular circulatory system. Long-term abnormal blood pressure will lead to various car...
BACKGROUND: Modern clinical environments are laden with technology devices continuously gathering physiological data from patients. This is especially...
Acute Leukemia is a life-threatening disease common both in children and adults that can lead to death if left untreated. Acute Lymphoblastic Leukemia...
Warfarin dosing remains challenging due to narrow therapeutic index and highly individual variability. Incorrect warfarin dosing is associated with de...
Magnetically actuated soft robots may improve the treatment of disseminated intravascular coagulation. Significant progress has been made in the devel...
BACKGROUND: Sepsis is a major global healthcare concern. Platelets and leucocytes play a key role in sepsis. Whole blood flow cytometry (FCM) is a pow...
IMPORTANCE: To improve patient safety, health care systems need reliable methods to detect adverse events in large patient populations. Events are oft...
The application of machine learning in medicine has been productive in multiple fields, but has not previously been applied to analyze the complexity ...
People suffering from neuromuscular disorders such as locked-in syndrome (LIS) are left in a paralyzed state with preserved awareness and cognition. I...
Accurate and reliable prediction of clinical progression over time has the potential to improve the outcomes of chronic disease. The classical approac...
Purpose To develop and validate a deep learning system (DLS) for staging liver fibrosis by using CT images in the liver. Materials and Methods DLS for...
The aim of the present work was to evaluate the phenolic profile of leaves, stems and flowers of P. avium and their biological potential. For this pur...
The genetic analysis of complex traits does not escape the current excitement around artificial intelligence, including a renewed interest in "deep le...
OBJECTIVE: Artificial neural networks (ANNs) and classification and regression trees (CARTs) have been previously used for the prediction of cancer in...
Diabetic retinopathy (DR) is an eye disease, which affects the people who are all having the diabetes for more than 10Â years. The ophthalmologist iden...
Additional nutritional deficiencies may accompany zinc deficiency. We determined the vitamin B levels in patients with zinc (Zn) deficiency. This retr...
In the past decade, versatile micro- and nanosized machines have emerged as active agents for large-scale detoxification, sensing, microfabrication, a...
BACKGROUND: There is limited consensus regarding risk factors for postoperative bleeding. The objective of this work was to investigate the capability...