Artificial Intelligence Medical Compendium

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

Showing 53,991 to 54,000 of 225,930 articles

Applying biotechnology to overcome cancer drug resistance and improve public health outcomes.

Osong public health and research perspectives
This review examines how biotechnology advances (CRISPR/Cas9, next-generation targeted therapies, nanotechnology-based drug delivery, and immunotherapies) can be applied to address cancer drug resistance worldwide. It also considers the economic burd... read more 

The role of artificial intelligence in managing COVID-19 and long COVID: a narrative review.

Osong public health and research perspectives
The coronavirus disease 2019 (COVID-19) pandemic had an unprecedented global impact, resulting in both positive and negative consequences. The virus not only affected millions of lives worldwide but also caused long-term harm to multiple organ system... read more 

Advances in multi-omics for esophageal squamous cell carcinoma: Diagnostic, prognostic, and therapeutic perspectives.

Protein & cell
Esophageal squamous cell carcinoma (ESCC) remains a major health burden, particularly in Asia, with poor patient prognosis despite advancements in radiotherapy, chemotherapy, and immunotherapy. The marked inter-patient and intra-tumor heterogeneity o... read more 

Forensic Transcriptomics: Research Progress of the Past Two Decades.

Genomics, proteomics & bioinformatics
Over the last two decades, advancements in sequencing technology and data science have significantly deepened the study of transcriptomics, especially non-coding transcriptomics, leading to substantial developments in forensic applications. During th... read more 

Neural and computational mechanisms underlying one-shot perceptual learning in humans.

Nature communications
The ability to quickly learn and generalize is one of the brain's most impressive feats and recreating it remains a major challenge for modern artificial intelligence research. One of the most mysterious one-shot learning abilities displayed by human... read more 

Machine learning for microscopy data analytics targeting real-time optical characterization of semiconductor nanocrystals.

Nature communications
Semiconductor nanocrystals with uniform morphology and composition are expected to show consistent responses during light-matter interactions. However, microscopy reveals significant variations in their photoluminescence blinking patterns, even under... read more 

Open Molecular Crystals 2025 (OMC25) dataset and models.

Scientific data
The development of accurate and efficient machine learning models for predicting the structure and properties of molecular crystals has been hindered by the scarcity of publicly available datasets with property labels. To address this challenge, we i... read more 

Deep learning drives autonomous molecular reactions with single-bond selectivity in tetra-brominated porphyrins on Au(111).

Nature communications
The pursuit of autonomous chemical transformations with single-bond precision represents a central challenge in molecular nanoscience. While scanning tunneling microscopy (STM) enables site-specific reactions by directly engaging individual atoms and... read more 

Global emission factor dataset for Scope 3 machine learning applications.

Scientific data
The accurate and transparent estimation of greenhouse gas emissions is essential for corporate sustainability reporting and machine learning applications. Existing emission-factor datasets have restrictive licenses, insufficient spatiotemporal granul... read more 

RVO-ME: A Dual-Task OCT Dataset for Segmentation and Detection of Macular Lesions in Retinal Vein Occlusion.

Scientific data
Retinal vein occlusion (RVO) is one of the most common vision-threatening retinal diseases, with macular edema (ME) as its primary complication. Optical coherence tomography (OCT), a non-invasive imaging modality, enables detailed visualization of re... read more