Prescriptions

A deep learning-based drug repurposing screening and validation for anti-SARS-CoV-2 compounds by targeting the cell entry mechanism.

The recent outbreak of Corona Virus Disease 2019 (COVID-19) caused by severe acute respiratory syndr...

Will the future of pharmacovigilance be more automated?

INTRODUCTION: Artificial intelligence (AI) based tools offer new opportunities for pharmacovigilance...

Artificial intelligence and cheminformatics tools: a contribution to the drug development and chemical science.

In the ever-evolving field of drug discovery, the integration of Artificial Intelligence (AI) and Ma...

Knowledge Gaps in Generating Cell-Based Drug Delivery Systems and a Possible Meeting with Artificial Intelligence.

Cell-based drug delivery systems are new strategies in targeted delivery in which cells or cell-memb...

Human Interaction Classification in Sliding Video Windows Using Skeleton Data Tracking and Feature Extraction.

A "long short-term memory" (LSTM)-based human activity classifier is presented for skeleton data est...

HydRA: Deep-learning models for predicting RNA-binding capacity from protein interaction association context and protein sequence.

RNA-binding proteins (RBPs) control RNA metabolism to orchestrate gene expression and, when dysfunct...

Artificial Intelligence and Big Data Technologies in the Construction of Surgical Risk Prediction Model for Patients with Coronary Artery Bypass Grafting.

The objective of this work was to predict the risk of mortality rate in patients with coronary arter...

HRFSVM: identification of fish disease using hybrid Random Forest and Support Vector Machine.

Aquaculture fish diseases pose a serious threat to the security of food supplies. Fish species vary ...

Magnetically actuated hydrogel-based capsule microrobots for intravascular targeted drug delivery.

Microrobots for targeted drug delivery in blood vessels have attracted increasing interest from rese...

CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detection.

Formalizing surgical activities as triplets of the used instruments, actions performed, and target a...

Recent Advances in Deep Learning for Protein-Protein Interaction Analysis: A Comprehensive Review.

Deep learning, a potent branch of artificial intelligence, is steadily leaving its transformative im...

Automated dermatoscopic pattern discovery by clustering neural network output for human-computer interaction.

The prediction of drug sensitivity by multi-omics fusion reveals the heterogeneity of drug response in pan-cancer.

Cancer drug response prediction based on genomic information plays a crucial role in modern pharmaco...

Advancements in Drug Repurposing: Examples in Psychiatric Medications.

Because there are a limited number of animal models for psychiatric diseases that can be extrapolate...

Traffic Sign Recognition with Deep Learning: Vegetation Occlusion Detection in Brazilian Environments.

Traffic Sign Recognition (TSR) is one of the many utilities made possible by embedded systems with i...

Intelligent Diagnostics of Radial Internal Clearance in Ball Bearings with Machine Learning Methods.

This article classifies the dynamic response of rolling bearings in terms of radial internal clearan...

Overview of the 2022 n2c2 shared task on contextualized medication event extraction in clinical notes.

BACKGROUND: An accurate medication history, foundational for providing quality medical care, require...

Discovery of a Novel DCAF1 Ligand Using a Drug-Target Interaction Prediction Model: Generalizing Machine Learning to New Drug Targets.

DCAF1 functions as a substrate recruitment subunit for the RING-type CRL4 and the HECT family EDVP E...

Drug synergy model for malignant diseases using deep learning.

Drug synergy has emerged as a viable treatment option for malignancy. Drug synergy reduces toxicity,...

Enhancing Human-Robot Collaboration through a Multi-Module Interaction Framework with Sensor Fusion: Object Recognition, Verbal Communication, User of Interest Detection, Gesture and Gaze Recognition.

With the increasing presence of robots in our daily lives, it is crucial to design interaction inter...

Interaction of systemic drugs causing ocular toxicity with organic cation transporter: an artificial intelligence prediction.

Chronic disease patients (cancer, arthritis, cardiovascular diseases) undergo long-term systemic dru...