Artificial intelligence-assisted diagnostic cytology and genomic testing for hematologic disorders
Artificial intelligence (AI) is a rapidly evolving field of computer science that involves the
development of computational programs that can mimic human intelligence. In particular …
development of computational programs that can mimic human intelligence. In particular …
Machine learning and artificial intelligence in haematology
Digitalization of the medical record and integration of genomic methods into clinical practice
have resulted in an unprecedented wealth of data. Machine learning is a subdomain of …
have resulted in an unprecedented wealth of data. Machine learning is a subdomain of …
Utilization of machine-learning models to accurately predict the risk for critical COVID-19
Among patients with Coronavirus disease (COVID-19), the ability to identify patients at risk
for deterioration during their hospital stay is essential for effective patient allocation and …
for deterioration during their hospital stay is essential for effective patient allocation and …
Machine learning algorithms for predicting the recurrence of stage IV colorectal cancer after tumor resection
Y Xu, L Ju, J Tong, CM Zhou, JJ Yang - Scientific reports, 2020 - nature.com
The aim of this study is to explore the feasibility of using machine learning (ML) technology
to predict postoperative recurrence risk among stage IV colorectal cancer patients. Four …
to predict postoperative recurrence risk among stage IV colorectal cancer patients. Four …
[HTML][HTML] A review of artificial intelligence applications in hematology management: current practices and future prospects
Background Machine learning (ML) and deep learning (DL) methods have recently
garnered a great deal of attention in the field of cancer research by making a noticeable …
garnered a great deal of attention in the field of cancer research by making a noticeable …
A comprehensive review of FET‐based pH sensors: materials, fabrication technologies, and modeling
S Sinha, T Pal - Electrochemical Science Advances, 2022 - Wiley Online Library
The demand for miniaturized point‐of‐care chemical/biochemical sensors has driven the
development of field‐effect transistors (FETs) based pH sensors over the last 50 years. This …
development of field‐effect transistors (FETs) based pH sensors over the last 50 years. This …
Physico-chemical and adsorption study of hydrothermally treated zeolite A and FAU-type zeolite X prepared from LD (Linz–Donawitz) slag of the steel industry
Sodium-rich zeolite A and zeolite X (FAU-type) samples were synthesised from LD-slag via
fusion-assisted hydrothermal treatment. The physicochemical and thermal stability of the …
fusion-assisted hydrothermal treatment. The physicochemical and thermal stability of the …
Identification of significant risks in pediatric acute lymphoblastic leukemia (ALL) through machine learning (ML) approach
Pediatric acute lymphoblastic leukemia (ALL) through machine learning (ML) technique was
analyzed to determine the significance of clinical and phenotypic variables as well as …
analyzed to determine the significance of clinical and phenotypic variables as well as …
A machine learning approach to personalized dose adjustment of lamotrigine using noninvasive clinical parameters
X Zhu, W Huang, H Lu, Z Wang, X Ni, J Hu, S Deng… - Scientific Reports, 2021 - nature.com
The pharmacokinetic variability of lamotrigine (LTG) plays a significant role in its dosing
requirements. Our goal here was to use noninvasive clinical parameters to predict the dose …
requirements. Our goal here was to use noninvasive clinical parameters to predict the dose …
Clinical data prediction model to identify patients with early-stage pancreatic cancer
PURPOSE Pancreatic cancer is an aggressive malignancy with patients often experiencing
nonspecific symptoms before diagnosis. This study evaluates a machine learning approach …
nonspecific symptoms before diagnosis. This study evaluates a machine learning approach …