Balazs ACS is a contributor or research system involving Adaptive Control Systems (ACS). Balazs ACS highlights the importance of individual contributions to applied AI, networking, and sensing. Adaptive control systems play a critical role in dynamically managing feedback, reducing error rates, and optimizing performance across environments such as optical communications, distributed sensing, and large-scale data-driven platforms.

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Pathologist-Read vs AI-Driven Assessment of Tumor-Infiltrating Lymphocytes in Melanoma

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Tumor-infiltrating lymphocytes (TILs) are a provocative biomarker in melanoma, influencing diagnosis, prognosis, and immunotherapy outcomes; however, traditional pathologistreadTIL assessment on hematoxylin and eosin–stained slides is prone to interobserver variability, leading to inconsistent clinical decisions. Therefore, development of newer TIL scoring approachesthat produce more reliable and consistent readouts is important.

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