Prevention

Advancing chemical carcinogenicity prediction modeling: opportunities and challenges.

Carcinogenicity assessment of any compound is a laborious and expensive exercise with several associated ethical and practical concerns. While artificial intelligence (AI) offers promising solutions, unfortunately, it is contingent on several challenges concerning the inadequacy of available experimentally validated (non)carcinogen datasets and variabilities within bioassays, which contribute to t...

Judging facts, judging norms: Training machine learning models to judge humans requires a modified approach to labeling data.

As governments and industry turn to increased use of automated decision systems, it becomes essential to consider how closely such systems can reproduce human judgment. We identify a core potential failure, finding that annotators label objects differently depending on whether they are being asked a factual question or a normative question. This challenges a natural assumption maintained in many s...

A Horizon Scan to Support Chemical Pollution-Related Policymaking for Sustainable and Climate-Resilient Economies.

While chemicals are vital to modern society through materials, agriculture, textiles, new technology, medicines, and consumer goods, their use is not ...

Exploring the Potential of Chat GPT in Personalized Obesity Treatment.

Obesity has become a serious global health problem. For some patients who cannot be treated with traditional methods, artificial intelligence technolo...

Computer Vision Based on a Modular Neural Network for Automatic Assessment of Physical Therapy Rehabilitation Activities.

Physical rehabilitation techniques during the treatment of clinical pathology are one of the most challenging areas for the medical structure, patient...

Exercise with a wearable hip-assist robot improved physical function and walking efficiency in older adults.

Wearable assistive robotics has emerged as a promising technology to supplement or replace motor functions and to retrain people recovering from an in...

Patients' physiological reactions to competitive rehabilitation therapies assisted by robotic devices.

BACKGROUND: The aging of the population and the progressive increase in life expectancy in developed countries is leading to a high incidence of cereb...

High-resolution rural poverty mapping in Pakistan with ensemble deep learning.

High resolution poverty mapping supports evidence-based policy and research, yet about half of all countries lack the survey data needed to generate u...

Artificial Intelligence for skeleton-based physical rehabilitation action evaluation: A systematic review.

Performing prescribed physical exercises during home-based rehabilitation programs plays an important role in regaining muscle strength and improving ...

Identifying Reasons for Statin Nonuse in Patients With Diabetes Using Deep Learning of Electronic Health Records.

Background Statins are guideline-recommended medications that reduce cardiovascular events in patients with diabetes. Yet, statin use is concerningly ...

GutBug: A Tool for Prediction of Human Gut Bacteria Mediated Biotransformation of Biotic and Xenobiotic Molecules Using Machine Learning.

Dietary components and bioactive molecules present in functional foods and nutraceuticals provide various beneficial effects including modulation of h...

Machine learning models trained on synthetic datasets of multiple sample sizes for the use of predicting blood pressure from clinical data in a national dataset.

INTRODUCTION: The potential for synthetic data to act as a replacement for real data in research has attracted attention in recent months due to the p...

Robotic versus open total pancreatectomy: a systematic review and meta-analysis.

Limited data are available on postoperative outcomes in patients undergoing robotic total pancreatectomy (RTP). This systematic review and meta-analys...

The Environmental Conditions, Treatments, and Exposures Ontology (ECTO): connecting toxicology and exposure to human health and beyond.

BACKGROUND: Evaluating the impact of environmental exposures on organism health is a key goal of modern biomedicine and is critically important in an ...

Research on Evaluation of University Emergency Management Ability Based on BP Neural Network.

University emergency management ability is an important part of university safety management. To evaluate university emergency management ability scie...

SwimmerNET: Underwater 2D Swimmer Pose Estimation Exploiting Fully Convolutional Neural Networks.

Professional swimming coaches make use of videos to evaluate their athletes' performances. Specifically, the videos are manually analyzed in order to ...

Surrogate Modelling for Oxygen Uptake Prediction Using LSTM Neural Network.

Oxygen uptake (V˙O2) is an important metric in any exercise test including walking and running. It can be measured using portable spirometers or metab...

Alternative additives associated in the feeding of laying hens: performance, biometrics, bone traits, and economic evaluation-an unsupervised machine learning approach.

Given the current bans on the use of some growth promoting antibiotics in poultry nutrition, the need to use alternative additives which could replace...

Effect of robot-assisted stair climbing training as part of a rehabilitation program to improve pulmonary function, gait performance, balance, and exercise capacity in a patient after severe coronavirus disease 2019: a case report.

BACKGROUND: Severe coronavirus disease 2019 (COVID-19) infection may decrease respiratory and physical functions.

A Study on the Role of Affective Feedback in Robot-Assisted Learning.

In recent years, there have been many approaches to using robots to teach computer programming. In intelligent tutoring systems and computer-aided lea...