AIMC Topic: Humans

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A Crossroads in Cardiovascular Medicine: Progress and Barriers to Impact.

Circulation
During the past 75 years, advances in cardiovascular science and technology have significantly reduced morbidity and mortality. In 2012, Drs Nabel and Braunwald reviewed this progress in , highlighting the landmark innovations that contributed to the...

Cell Decoder: decoding cell identity with multi-scale explainable deep learning.

Genome biology
BACKGROUND: Cells are the fundamental units of life, and understanding their diversity and functionality requires detailed characterization. The rise of single-cell omics data enables this, yet current deep learning approaches lack multi-scale interp...

Cardiovascular risk assessment enhanced by automated machine learning in a multi-phase study.

Scientific reports
Cardiovascular diseases (CVDs) are the leading cause of death worldwide, and current predictors such as lipoprotein (a) [Lp(a)] and risk scores have limitations. Automated machine learning (AutoML) offers the potential to improve CVD risk prediction ...

Adaptive resource aware and privacy preserving federated edge learning framework for real time internet of medical things applications.

Scientific reports
The Internet of Medical Things requires frameworks that ensure secure processing, computational efficiency, and scalability for continuous healthcare data streams. Existing solutions remain limited in their ability to support real-time anomaly detect...

A machine learning tool for predicting newly diagnosed osteoporosis in primary healthcare in the Stockholm Region.

Scientific reports
Improving accuracy and timeliness for osteoporosis diagnosis could help prevent fragility fractures, morbidity, and mortality for older individuals. Osteoporosis is an often silent health condition, especially as regards vertebral fractures, and WHO ...

Automated assessment of periapical health based on the radiographic periapical index using YOLOv8, YOLOv11, and YOLOv12 one-stage object detection algorithms.

Scientific reports
This study investigates the application of recent YOLO (You Only Look Once) algorithms for automated detection and classification of apical periodontitis using the Periapical Index (PAI) scoring system (1-5). A dataset of 699 digital periapical radio...

Multidimensional trophoblast invasion assessment by combining 3D in vitro modeling and deep learning analysis.

NPJ systems biology and applications
Infertility affects millions of couples worldwide, and in vitro fertilization is a key therapeutic strategy for achieving parenthood. Despite advances, the first IVF attempt fails in ~60% of patients, highlighting the need for innovative solutions to...

Artificial intelligence coupled to pharmacometrics modelling to tailor malaria and tuberculosis treatment in Africa.

Nature communications
Africa's vast genetic diversity poses challenges for optimising drug treatments in the continent, which is exacerbated by the fact that drug discovery and development efforts have historically been performed outside Africa. This has led to suboptimal...

The usefulness of microbiome profiling for geriatric patients with neuropsychiatric conditions: a scoping review.

Translational psychiatry
INTRODUCTION: Neuropsychiatric disorders encompass psychiatric and neurodegenerative diseases. These conditions are particularly challenging to diagnose in the elderly due to their overlapping cognitive, affective, and behavioural symptoms. Recent st...

Time for Clarity in Exploring the Evidence and Key Concepts of Human-Centered Design in Digital Health Care: Protocol for a Scoping Review.

JMIR research protocols
BACKGROUND: Human-centered design (HCD) methodologies such as design thinking (DT), user-centered design, cocreation, and participatory design (PD) have been adopted to facilitate user and stakeholder involvement in the development of eHealth applica...