The diagnostic accuracy of AIDOC-VO, the first commercial artificial intelligence tool for intracranial large-and medium-vessel occlusion (LVO/MeVO) detection on head-and-neck CT angiography (CTA), was evaluated in a multicenter emergency setting. A ... read more
AJR. American journal of roentgenology
Apr 15, 2026
MRI-guided high-intensity focused ultrasound (MRgHIFU) has emerged as an alternative to other neuromodulatory interventions for patients with medically refractory movement disorders, including open surgery, radiosurgery, and deep brain stimulation. M... read more
Critical reviews in analytical chemistry
Apr 15, 2026
Cancer remains a leading global health challenge, necessitating continuous advancements in diagnostics and therapeutics to enhance patient outcomes. According to the recent data of the American Cancer Society, an estimated 20 million new cancer cases... read more
Existing research has confirmed that nitrogen deposition is a key source of nutrient input in watersheds, but its contribution to riverine carbon, nitrogen loads, and aquatic greenhouse gas (GHG) emissions has not been thoroughly quantified. By devel... read more
Protein engineering, design & selection : PEDS
Apr 15, 2026
The integration of machine learning tools into protein engineering offers substantial promise, yet linking computational predictions to experimental performance remains challenging. Here, we applied accessible computational platforms to engineer Ideo... read more
Progress in biomedical engineering (Bristol, England)
Apr 15, 2026
Ultrasonic power transfer (UPT) is gaining traction for wireless energy delivery to implants and wearables because it combines centimeter-scale penetration with compact receivers. This review takes a transducer-centric view of UPT and organizes the f... read more
idTracker and idtracker.ai approach multi-animal tracking from video as an image classification problem. For this classification, both rely on segments of video where all animals are visible to extract images and their identity labels. When these seg... read more
Biological neural networks (BNNs) promise low-power consumption and massive parallelism, offering a plausible route toward truly bio-derived intelligence beyond conventional AI frameworks. However, their computational principles remain poorly underst... read more
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