The integration of machine learning and artificial intelligence is providing a new lens for retinal health, transforming ophthalmology.
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The Future of Technology in Urology: What Physicians Need to Know
New technologies are at the forefront of modern medical care, and the field of urology is a leader in this area. From the evolution of robotic surgery techniques to the integration of artificial ...
A new study applying multi-omics techniques and machine learning identified 33 plasma proteins that differ significantly in patients with amyotrophic lateral sclerosis (ALS). The findings suggest ALS ...
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AI eye scans: A window into heart health
The integration of machine learning and artificial intelligence ... offering unprecedented insights into both eye and body health. Several researchers globally are using AI to check for eye diseases, ...
Advantages: Specifically designed for infants who may not cooperate during examinations, this lens is crucial for detecting congenital eye diseases in newborns, facilitating early diagnosis and ...
The study, published in npj Metabolic Health and Disease (Nature Portfolio), introduces a powerful tool for predicting biological age, uncovering disease-specific metabolic signatures, and supporting ...
1 School of Mathematics and Statistics, Fuyang Normal University, Fuyang, China 2 State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, Hainan, China The ...
Aims: Approximately 25%–30% of the global population is affected by non-alcoholic fatty liver disease (NAFLD). This study aimed to explore whether NAFLD could be effectively detected using 341 ...
Abstract: The dominant causes of visual impairment worldwide are Cataract, Glaucoma, and retinal diseases among patients. The alarming cases of these diseases call for an urgent intervention by early ...
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