J Formos Med Assoc
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The accuracy of histopathology diagnosis largely depends on the pathologist's experience. It usually takes over 10 years to cultivate a senior pathologist, and small numbers of them lead to a high workload for those available. Meanwhile, inconsistent diagnostic results may arise among different pathologists, especially in complex cases, because diagnosis based on morphology is subjective. Computerized analysis based on deep learning has shown potential benefits as a diagnostic strategy. ⋯ For AI to assist pathologists in daily practice, to help a pathologist making a definite diagnosis is not the prime purpose at present time. The benefits could come from cancer screening and double-check quality control in a heavy workload which could distract the attention of pathologist during the time constraint examination process. We propose a two-steps method to identify cancerous areas in endoscopic gastric biopsy slices via deep learning. Then a 3D model is used to further mark all the positions of GC in the picture, and the model overcomes the problem that deep learning can't catch all GC.
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New psychoactive substances (NPS) have increasingly been illegally synthesized and used around the world in recent years. Due to the large volume and the variety of NPS, most do not have sufficient information about their addictive potential and harmful effects to human subjects. This makes it difficult to evaluate these potential substances of abuse. ⋯ Taiwan Controlled Substances Database (TCSD) includes the collection of controlled substances, relevant experimental and structural information, as well as computational features such as molecular fingerprints and descriptors. Two types of structural search were added: substructure search and topological fingerprint similarity search. A web framework was used to enhance accessibility and usability (https://cs2search.cmdm.tw).
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The current study aimed to assess the prevalence of bullying victimization (BV) and its association with psychopathology and suicidality in a nationwide general population. ⋯ Bullying exposure is associated with recent psychopathology and lifetime suicidality. Multifactorial interactive processes contribute to long-term harmful health implications in adulthood. Nevertheless, further research on the relevant mechanisms associated with bullying and potential interventions that can decrease morbidity must be conducted.
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Recent emerging evidence indicates that dysfunction of metabolic remodeling underlies aberrant T cell immune responses in systemic lupus erythematosus (SLE). This study was undertaken to investigate the expression of HIF-1α, a regulator of metabolic reprogramming, in T cells from SLE. ⋯ HIF-1α expression is increased in T cells from SLE patients, and is positively correlated with glycolysis- and Th17- associated pathway, implicating HIF-1α contributes to the activation of Th17 cells in SLE, and represents a potential novel therapeutic target.