This article explores how natural and man-made factors shape architecture and environments for human activity in emergency situations, focusing on the unique conditions of the Republic of Kazakhstan. Results are not reported.
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May 2018 in “The journal of investigative dermatology/Journal of investigative dermatology” This meeting synopsis on the 66th Annual Montagna Symposium reports no new results but outlines discussions on precision dermatology, integrating molecular insights with clinical applications for personalized skin care.
In this review of autonomous robotic surgery, the authors explore the integration of AI and machine learning in surgical procedures, detailing both the advancements and challenges of these technologies, including ethical concerns and current regulatory frameworks.
1 citations
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January 2023 in “IEEE access” This review examines advancements in deep learning methods for detecting dermatological conditions from dermoscopic images, summarizing available datasets and suggesting future research directions, but reports no new results.
This study found that integrating machine learning enhances the predictive accuracy of forensic DNA phenotyping from low template DNA, achieving high accuracy for traits like eye color, although challenges remain for admixed populations and complex traits.