Latest AI and machine learning research in prescriptions for healthcare professionals.
Computer vision systems offer identification solutions for animals with distinct coat patterns but are less effective for solid-colored herds. Another complication in real-world conditions is when new animals are introduced or removed from the herd, representing a challenge known as the open-set scenario. A promising alternative for identifying solid-colored animals is to use keypoints, similar to...
The detection of small voids or defects in X-ray images of tooth root canals still faces challenges. To address the issue, this paper proposes an improved YOLOv10 that combines Token Attention with Residual Convolution (ResConv), termed YOLO-TARC. To overcome the limitations of existing deep learning models in effectively retaining key features of small objects and their insufficient focusing capa...
We present the Full-Spectrum Generative Lead Discovery (FSGLD), a deep learning-driven pipeline for efficient drug lead identification. FSGLD integrat...
Drug-drug interaction (DDI) can compromise therapeutic efficacy and cause detrimental effects in polypharmacy. Computational prediction of DDI has eme...
Deforestation, urbanization, and climate change have significantly increased the risk of zoonotic diseases. Nipah virus (NiV) of Paramyxoviridae famil...
It has been proven that the microbiome in human bodies can promote or inhibit the treatment effects of the drugs by affecting their toxicities and act...
Based on the DeepSORT algorithm, this study explores the application of visual tracking technology in intelligent human-computer interaction, especi...
Epilepsy is a prevalent neurological disease with millions of patients worldwide. Many patients have turned to alternative medicine due to the limit...
We introduce M$^3$CAD, a novel benchmark designed to advance research in generic cooperative autonomous driving. M$^3$CAD comprises 204 sequences wi...
There is a growing demand for the use of Artificial Intelligence (AI) and Machine Learning (ML) in healthcare, particularly as clinical decision sup...
There is a lack of effective means for precise drug delivery of gastrointestinal diseases. Herein we report a novel magnetically controlled drug deliv...
Forest fires are severe ecological disasters worldwide that cause extensive ecological destruction and economic losses while threatening biodiversity ...
Accurately predicting protein-ligand binding affinity is an important step in the drug discovery process. Deep learning (DL) methods have improved bin...
The chronic cardiac deficiency continues to be one of the leading health care problems requiring innovative solutions. The article presents mathematic...
Representation learning provides an opportunity to uncover the link between 3D genome organization and gene regulatory networks, thereby connecting th...
Trust is a fundamental component of human-agent interaction. With the increasing presence of artificial agents in daily life, it is essential to und...
: Implant brand identification is critical in modern dental clinical diagnostics. With the increasing variety of implant brands and the difficulty of ...
Introduction: Operative management of spinal metastatic disease is largely for symptom palliation and revolves around the expectation that postoperati...
Today, drug discovery and development is one of the fields where Artificial Intelligence (AI) is used extensively. Therefore, this study aims to syste...
While education is essential for employability, people with disabilities often face barriers such as inadequate accommodations and limited access to a...