Precision, or personalized, medicine aims to stratify patients based on variable pathogenic signatures to optimize the effectiveness of disease prevention and treatment.This approach is favorable in the context of brain disorders, which are often heterogeneous in their pathophysiological features, patterns of disease progression and treatment respo
Allo Beta Cell transplantation: specific features, unanswered questions, and immunological challenge
Type 1 diabetes (T1D) presents a persistent medical challenge, demanding innovative strategies for sustained glycemic control and enhanced patient well-being.Beta cells are specialized cells in the pancreas that produce insulin, Pushbutton Switch a hormone that regulates blood sugar levels.When beta cells are damaged or destroyed, insulin productio
ON THE INTEGRAL EQUATION OF THE FIRST KIND REDUCTION TO THE EQUATION WITH A DEGENERATE KERNEL
An abstract ill-posed inverse problem reduced to the integral Fredgholm equation of the first kind is considered.The paper is devoted to the semi-heuristic scheme of the a priori predictions destined for the analysis of the Accent Mirror reconstruction possibilities from the given level of the initial data errors.The upper bounds are derived which
Successful Ziprasidone Monotherapy in a Case of Delusional Parasitosis: A One-Year Followup
Delusional parasitosis is characterized by the false idea that own body is infested by reset switch invisible mites, insects, or other parasites.This case report describes a 24-year-old woman with delusional parasitosis who was treated with ziprasidone monotherapy (120 mg/day) with a complete remission of delusion and followed for one year without
Deep Learning-Based Super-Resolution Reconstruction and Algorithm Acceleration of Mars Hyperspectral CRISM Data
In Mars exploration, hyper-spectrometry plays an important role due to its high spectral resolution.However, due to the technical difficulty and the data size, the spatial resolution or the coverage of hyperspectral Handbag data is often limited.This limitation can be alleviated by deep learning-based super-resolution (SR) reconstruction.But the sp