Latest AI and machine learning research in smoking & tobacco for healthcare professionals.
OBJECTIVES: Laparoscopic metabolic surgery (MxS) can lead to remission of type 2 diabetes (T2D); how...
INTRODUCTION: Machine learning algorithms such as elastic net regression and backward selection prov...
Colorectal cancer is one of the highest causes of cancer-related death, especially in men. Polyps ar...
Mild traumatic brain injury is a growing public health problem with an estimated incidence of over 1...
In positron emission tomography (PET) image reconstruction, the Bayesian framework with various regu...
A number of image-processing problems can be formulated as optimization problems. The objective func...
Birthweight is often used as a proxy for fetal weight. Problems with this practice have recently bee...
BACKGROUND: This cross-sectional retrospective study utilized Natural Language Processing (NLP) to e...
Pulmonary valve diseases include the different degrees of aortic stenosis or congenital defects in c...
A marked delay in the electrical repolarization of heart ventricles is characterized by prolongation...
This study describes a multiphasic approach to the development of a smokeless tobacco cessation prog...
Understanding tobacco- and alcohol-related behavioral patterns is critical for uncovering risk facto...
Whole-cell patch-clamp electrophysiological recording is a powerful technique for studying cellular ...
Smoking is a significant risk factor for initiation and progression of oral diseases. A patient's cu...
This study aimed to evaluate the efficiency of Bacillus pumilus AR03 against Altenaria alternata and...
Quantitative measurements from segmentations of human brain magnetic resonance (MR) images provide i...
The aim of the article is to work out the simple approach for matching of the ages of the human and ...
The response of the liver and blood erythrocyte lipids to the low intensity chronic γ-irradiation ac...