Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 41,371 to 41,380 of 223,853 articles

Process and purification synergies with data analytics driving clinical translation in nanomedicine.

Nanomedicine (London, England)
Nanomedicine has evolved from a trial-and-error approach to one driven by engineering principles emphasizing accuracy, repeatability, and regulatory trust. The successful implementation of nanoparticle-based vaccines highlights the necessity for scal... read more 

Identifying Venous Insufficiency in Head and Neck Reconstruction Flaps Using Machine Learning and Deep Learning Methods.

Head & neck
BACKGROUND: Venous insufficiency is a major cause of flap failure in head and neck reconstruction. AI provides a reliable, convenient solution for early detection. METHODS: Clinical data and postoperative flap photos of head and neck cancer patients ... read more 

Drug repurposing in oncology: Bridging computational discovery to clinical application.

International journal of cancer
Drug repurposing, the identification of new therapeutic applications for existing drugs, has emerged as a pragmatic and cost-efficient strategy to accelerate oncology drug discovery. Faced with rising development costs, protracted timelines, and high... read more 

Anharmonic Thermodynamics Redefines Metastability and Parent Phases in Ferroelectric HfO2.

The journal of physical chemistry letters
Hafnia (HfO2) is a silicon-compatible dielectric material, yet stabilizing its desired but metastable ferroelectric phase remains challenging. Phase stability predictions by density functional theory (DFT) have provided crucial guidance, but most sim... read more 

Rethinking the Integration of AI in Learning and Assessment in Health Professions Education.

European journal of dental education : official journal of the Association for Dental Education in Europe
This perspective highlights the urgent need to rethink how academia in health professions education (HPE) engages with artificial intelligence (AI), moving away from a reactive, enforcement-driven mindset toward a more forward-looking, educationally ... read more 

Interpretable Multi-Modality Consensus QSAR Framework: Integrating Machine and Deep Learning for Enhanced Multi-Endpoint Toxicity Assessment.

Toxicology mechanisms and methods
Accurate toxicity assessment is essential for chemical safety, but experimental testing is costly, slow, and ethically constrained, motivating the adoption of computational approaches such as QSAR. However, many QSAR models still rely on a single des... read more 

Development and validation of machine learning prognostic models for overall survival in non-surgical prostate cancer patients with bone metastases.

The aging male : the official journal of the International Society for the Study of the Aging Male
OBJECTIVE: To construct and interpret a machine learning model for predicting overall survival in nonsurgical prostate cancer with bone metastases (PCBM). METHODS: Data from 3,378 SEER database patients were utilized to develop machine learning survi... read more 

Generative design of synthetic gene circuits for functional and evolutionary properties.

NPJ systems biology and applications
In the past decades, a wide suite of design tools for biological systems has been developed, but using these to create biotechnologies that achieve reliable and predictable behaviour remains challenging. Modelling approaches have enabled researchers ... read more 

Prediction of thermally driven quasi-1D superionic states in carbon hydride under giant planetary conditions.

Nature communications
Planetary interiors experience high-pressure-high temperature conditions that give rise to unconventional states of matter, reshaping our understanding of planetary dynamics and the generation of magnetic fields. Here, using first-principles computat... read more