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This study explores the utility of the large language models (LLMs), specifically ChatGPT and Google Bard, in predicting neuropathologic diagnoses from clinical summaries. A total of 25 cases of neurodegenerative disorders presented at Mayo Clinic brain bank Clinico‐Pathological Conferences were analyzed. The LLMs provided multiple pathologic diagnoses and their rationales, which were compared with the final clinical diagnoses made by physicians. ChatGPT‐3.5, ChatGPT‐4, and Google Bard correctly made primary diagnoses in 32%, 52%, and 40% of cases, respectively, while correct diagnoses were included in 76%, 84%, and 76% of cases, respectively. These findings highlight the potential of artificial intelligence tools like ChatGPT in neuropathology, suggesting they may facilitate more comprehensive discussions in clinicopathological conferences. This study assessed the capability of large language models, namely ChatGPT and Google Bard, in predicting neuropathologic diagnoses from 25 cases presented at Mayo Clinic brain bank clinicopathological conferences. ChatGPT‐4 rendered correct diagnoses in 84% of cases, whereas ChatGPT‐3.5 and Google Bard each achieved 76%. These findings highlight the potential of large language models in neuropathology, suggesting they may facilitate more comprehensive discussions in clinicopathological conferences.

Epidermolysis bullosa pruriginosa (EBP) is a form of dystrophic EB associated with severe pruritus and has skewed Th2 inflammation. Our study suggests that JAK inhibitors may offer superior efficacy compared to dupilumab in treating EBP. Moreover, JAK inhibitors downregulate JAK-STAT signalling and Th1/2 cell differentiation in lesional skin while not in peripheral blood. Graphical Abstract Graphical Abstract Epidermolysis bullosa pruriginosa (EBP) is a form of dystrophic EB associated with severe pruritus and has skewed Th2 inflammation. Our study suggests that JAK inhibitors may offer superior efficacy compared to dupilumab in treating EBP. Moreover, JAK inhibitors downregulate JAK-STAT signalling and Th1/2 cell differentiation in lesional skin while not in peripheral blood.

The hybrid halide perovskites combine the low-cost processing characteristics of organic materials with the performance factors of inorganic compounds. Recently the power conversion efficiencies of perovskite photovoltaic solar cells have reached a respective value of ~20%. The charge transport properties were indirectly approximated in these compounds because of lack of available field-effect transistors (FETs). Here we report the fabrication and room-temperature operation of FETs based on the hybrid perovskites. We obtained balanced electron and hole transport with mobilities of ~1 cm2/Vs. We also found that the yield, as well as the operational and environmental stability of the fabricated transistors is limited.

Several eczematous eruptions have been described during treatment with anti-IL17A and anti-IL17 receptor drugs. In our case, however, the patient had been treated for 2 years with an IL-17A inhibitor without ever developing eczematous reactions, which occurred, however, shortly after starting therapy with bimekizumab, an IL-17A, F and A/F inhibitor. Graphical Abstract Graphical Abstract Several eczematous eruptions have been described during treatment with anti-IL17A and anti-IL17 receptor drugs. In our case, however, the patient had been treated for 2 years with an IL-17A inhibitor without ever developing eczematous reactions, which occurred, however, shortly after starting therapy with bimekizumab, an IL-17A, F and A/F inhibitor.