Artificial Intelligence Medical Compendium

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

Showing 53,711 to 53,720 of 225,930 articles

Revitalizing actinobacteria research: an urgent response to the antimicrobial resistance crisis.

Natural products and bioprospecting
The crisis of antimicrobial resistance (AMR) is escalating while the antibiotic pipeline remains stagnant. Our bibliometric analysis of eight decades of literature reveals a critical imbalance: research on AMR has grown, yet fundamental research on a... read more 

AI-enhanced robotic hands: a breakthrough in early tumour detection and removal.

Journal of robotic surgery
AI-enhanced robotic hands are rapidly reshaping tumour surgery by merging real-time sensing, precision mechanics, and intelligent decision support, yet current systems still struggle with early lesion detection, limited tactile sensitivity, and incon... read more 

The radiomics fingerprint of cartilage tumours: radiomics-based MRI differentiation of enchondroma and atypical cartilaginous tumour.

Japanese journal of radiology
PURPOSE: This study aimed to develop and validate machine learning models based on quantitative radiomics parameters extracted from T1-weighted MRI to differentiate enchondromas from atypical cartilaginous tumours (ACTs). METHODS: A retrospective coh... read more 

UniGraphPTMs: a contrastive learning-enhanced universal framework for PTM site prediction via GNN and multimodal fusion.

BMC genomics
Protein post-translational modifications (PTMs) represent a core regulatory mechanism governing protein function and cellular fate. Their dynamic alterations profoundly influence critical biological processes. However, Existing research primarily foc... read more 

Cosynllm: predicting drug combination synergy with LLM-generated descriptions.

Journal of cheminformatics
Drug combination therapy is a well-established strategy for treating complex diseases. However, the vast combinatorial space renders exhaustive experimental screening impractical and costly. Recent studies have shown that deep learning techniques can... read more 

Factors influencing long-term outcomes in lung transplantation: effective monitoring and comprehensive intervention.

Current opinion in pulmonary medicine
PURPOSE OF REVIEW: Achieving long-term survival after lung transplantation remains a major challenge. Outcome determinants have expanded beyond pathophysiology to include quality of life and patient-reported outcomes. This review summarizes key progn... read more 

Neonatal auditory input affects vocal development in harbour seals.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Vocal individuality has important biological functions in mammals: at crucial stages of development, it ensures feeding and is a prerequisite for auditory-based mother-pup recognition. Is vocal individuality only shaped by maturation or also by the d... read more 

Completing the loop with BabyX: harnessing a novel interactive experimental tool to uncover how infants' communicative signals shape caregivers' interactive responsiveness.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
A limitation of social contingency research with infants is that scientists can only instruct the caregivers to modulate their interactive behaviour with the infant. This approach results in a one-sided perspective on social contingency where the inf... read more