Prescriptions

Using artificial intelligence for exercise prescription in personalised health promotion: A critical evaluation of OpenAI's GPT-4 model.

The rise of artificial intelligence (AI) applications in healthcare provides new possibilities for p...

Artificial intelligence approaches for molecular representation in drug response prediction.

Drug response prediction is essential for drug development and disease treatment. One key question i...

DeepCompoundNet: enhancing compound-protein interaction prediction with multimodal convolutional neural networks.

Virtual screening has emerged as a valuable computational tool for predicting compound-protein inter...

Human-Robot Interaction Using Learning from Demonstrations and a Wearable Glove with Multiple Sensors.

Human-robot interaction is of the utmost importance as it enables seamless collaboration and communi...

An End-to-end and Drug Repurposing Pipeline for Glioblastoma.

Our study aims to address the challenges in drug development for glioblastoma, a highly aggressive b...

A deep learning method for drug-target affinity prediction based on sequence interaction information mining.

BACKGROUND: A critical aspect of drug discovery involves the prediction of drug-target affinity (DT...

Effect of postpartum calcium supplementation on serum calcium and parathyroid hormone concentrations in multiparous Holstein cows.

Although postpartum Ca supplementation strategies are often employed to prevent subclinical hypocalc...

Computational and artificial intelligence-based approaches for drug metabolism and transport prediction.

Drug metabolism and transport, orchestrated by drug-metabolizing enzymes (DMEs) and drug transporter...

Integrating QSAR modelling and deep learning in drug discovery: the emergence of deep QSAR.

Quantitative structure-activity relationship (QSAR) modelling, an approach that was introduced 60 ye...

A generic scope actuation system for flexible endoscopes.

BACKGROUND: A scope actuation system assists a surgeon in steering a scope for navigating an operati...

Developing an Artificial Intelligence-Driven Nudge Intervention to Improve Medication Adherence: A Human-Centred Design Approach.

To improve medication adherence, we co-developed a digital, artificial intelligence (AI)-driven nudg...

Data science in drug discovery safety: Challenges and opportunities.

Early de-risking of drug targets and chemistry is essential to provide drug projects with the best c...

Computational drug discovery on human immunodeficiency virus with a customized long short-term memory variational autoencoder deep-learning architecture.

Despite attempts to control the spread of human immunodeficiency virus (HIV) through the use of anti...

Automatic Gaze Analysis: A Survey of Deep Learning Based Approaches.

Eye gaze analysis is an important research problem in the field of Computer Vision and Human-Compute...

Fusion-Based Deep Learning Architecture for Detecting Drug-Target Binding Affinity Using Target and Drug Sequence and Structure.

Accurately predicting drug-target binding affinity plays a vital role in accelerating drug discovery...

Editorial: Advances in artificial intelligence (AI) in brain computer interface (BCI) and Industry 4.0 for human machine interaction (HMI).

Electrochemiluminescence Sensor Based on CTS-MoS and AB@CTS with Functionalized Luminol for Detection of Malathion Pesticide Residues.

The accumulation of pesticide residues poses a significant threat to the health of people and the su...

Effect of robot for medication management on home care professionals' use of working time in older people's home care: a non-randomized controlled clinical trial.

BACKGROUND: Medication management has a key role in the daily tasks of home care professionals deliv...

ChatGPT or LLM in next-generation drug discovery and development: pharmaceutical and biotechnology companies can make use of the artificial intelligence-based device for a faster way of drug discovery and development.

Strengthening the Diagnosis of Drug-Resistant Tuberculosis Using NGS-Based Approaches and Bioinformatics Pipelines for Data Analysis in India.

In India, drug-resistant tuberculosis (DR-TB) is a major public health issue and a significant chall...

MaTPIP: A deep-learning architecture with eXplainable AI for sequence-driven, feature mixed protein-protein interaction prediction.

BACKGROUND AND OBJECTIVE: Protein-protein interaction (PPI) is a vital process in all living cells, ...