Artificial Intelligence Medical Compendium

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

Showing 30,341 to 30,350 of 220,100 articles

Tackling the complexity of cancer with generative models.

Cell
The Hallmarks of Cancer framework has played a seminal role in developing our understanding of cancer biology. By design, these hallmarks abstract cancer into a common set of functional capabilities. The hallmarks thus constitute an intentionally red... read more 

Cancer cachexia: A tumor-driven disorder of whole-body homeostasis.

Cancer cell
Cancer cachexia is a systemic metabolic syndrome driven by tumor-induced disruption of whole-body homeostasis. Characterized by skeletal muscle atrophy and adipose tissue loss, cachexia leads to functional decline, impaired quality of life, reduced t... read more 

Rapid customization of base editors via machine learning-powered combinatorial mutagenesis.

Molecular cell
Being able to control the complementarity and hindrance between target DNA and base editor proteins enables precise, bystander-free editing. Here, we combined combinatorial mutagenesis with machine learning to analyze and engineer these interactions ... read more 

Diagnostic Accuracy of Ultrasound Radiomics for Cervical Lymph-Node Metastasis in Papillary Thyroid Carcinoma: Evidence Predominantly From Chinese Cohorts.

Ultrasound in medicine & biology
Pre-operative identification of cervical lymph-node metastasis (LNM) guides surgical extent in papillary thyroid carcinoma (PTC) but remains imperfect with conventional ultrasound. To quantify the diagnostic accuracy of ultrasound-based radiomics for... read more 

Large Language Models for the Differentiation of Benign and Malignant Liver Nodules based on Multimodal Prompts in Liver US Cases.

Ultrasound in medicine & biology
OBJECTIVE: Large language models (LLMs) that can process both images and text are increasingly being used in radiology. This study aimed to evaluate the performance of LLMs including GPT-4 Omni (GPT-4o), Claude-3.5-Sonnet (Claude), and Gemini 1.5 Pro... read more 

Deep learning-guided discovery and engineering of binding peptides for accelerated enzymatic degradation of polyethylene terephthalate.

Trends in biotechnology
Enzymatic polyethylene terephthalate (PET) degradation holds promise for environmental restoration. However, limited substrate catalytic capacity hinders its application in addressing PET plastic contamination. To enhance enzyme-substrate interaction... read more 

Noninvasive Prediction of Bone Metastasis-Free Survival in Lung Adenocarcinoma Using Interpretable CT-based Deep Learning Model.

Academic radiology
RATIONALE AND OBJECTIVES: Preoperatively identifying patients at high risk of bone metastasis (BM) remains challenging in resectable lung adenocarcinoma (LUAD), limiting early risk-adapted surveillance. We aimed to develop and validate an interpretab... read more 

Machine Learning Prediction for Fe(II) Spin-Crossover Complex in the Same Spin State Using Geometrical and Topological Descriptors.

Journal of chemical information and modeling
Spin-crossover (SCO) complexes are molecular materials capable of reversibly switching between high-spin (HS) and low-spin (LS) states in response to external stimuli. Predicting SCO from crystallographic data allows for the efficient design of new S... read more 

Performance Is Not All You Need! Comment on "Unsupervised Machine Learning for Differential Analysis in Proteomics".

Analytical chemistry
In their recently published article (DOI: 10.1021/acs.analchem.5c03117), Xu et al. argue that the detection of differentially abundant proteins in proteomic experiments should go beyond traditional statistical methods and should leverage unsupervised... read more 

Molecular connectivity indices and soil properties to predict the sorption of per- and poly-fluoroalkyl substances.

Environmental science. Processes & impacts
This study presents a modeling approach to predict the soil-water partitioning coefficient (Kd, L kg-1) for per- and poly-fluoroalkyl substances (PFASs) as a function of their molecular connectivity indices (MCIs) and soil properties (soil organic ca... read more