faultfinder 发表于 2025-3-30 10:06:04
Punit Kumar,K. N. Srivastava,Atul Dhar Brazil, covering all country regions. We propose collecting, mapping, analyzing data, and supporting effective communication between such centers to share clinical knowledge, evolution, and patient needs, through well-defined and standardized processes. We used validated structures to ensure data p北京人起源 发表于 2025-3-30 15:11:43
http://reply.papertrans.cn/24/2331/233099/233099_52.pngIndecisive 发表于 2025-3-30 18:32:44
Conventional Energy and Power System,lity of the DA methods to replicate the information of the metabolites and determined that selected metabolites (such as 3-aminoisobutyrate, 3-hidroxivaleric, quinolinate and trimethylamine) may be valuable biomarkers for the diagnosis of NPC1 disease.创作 发表于 2025-3-31 00:25:15
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João L. Neto,Marco Silva,Paulo G. Pereirinhasent the computational model, validation of the model against benchtop test lungs and standard-of-care ventilators, and the methods that enabled simulation of over 200 million patient scenarios using 800,000 compute hours in a 72 h period.表示向前 发表于 2025-3-31 05:41:13
Paula Ferreira,Ana Rocha,Madalena Araújomentia (CDRSUM > 2.25), and five other might get questionable impairment (CDRSUM > 0.75). AI methods can find, invisible for neuropsychologists, patterns in cognitive attributes of normal subjects that might indicate their pre-dementia stage.Incompetent 发表于 2025-3-31 09:24:06
http://reply.papertrans.cn/24/2331/233099/233099_57.png震惊 发表于 2025-3-31 13:59:19
http://reply.papertrans.cn/24/2331/233099/233099_58.pngHighbrow 发表于 2025-3-31 18:57:37
Noninvasive Estimation of Mean Pulmonary Artery Pressure Using MRI, Computer Models, and Machine Leaent of mean Pulmonary Artery Pressure (mPAP) during an invasive Right Heart Catheterization. In this paper, we investigate noninvasive approach to PH detection utilizing Magnetic Resonance Imaging, Computer Models and Machine Learning. We show using the ablation study, that physics-informed featureradiograph 发表于 2025-3-31 21:48:05
GAN-Based Data Augmentation for Prediction Improvement Using Gene Expression Data in Cancermographies are used. However, when gene expression data is under analysis, the performance is often limited, further hampered by the complexity of these models that require several instances, in the order of thousands, to provide good results. Due to the difficulty and the costs involved in the coll