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Novel therapeutic agents including disitamab vedotin (RC48, an antibody-drug conjugate) and immune-checkpoint inhibitors (e.g., PD-1 inhibitors) have provided new hope as an advanced gastric-cancer (GC) treatment.

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Decomposition-based multi-objective evolutionary algorithms (MOEAs) are popular methods utilized to address many-objective optimization problems (MaOPs). These algorithms decompose the original MaOP into several scalar optimization subproblems, and solve them to obtain a set of solutions to approximate the Pareto front (PF). The decomposition approach is an important component in them.

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Background And Objective: Blood transfusion is an essential component of health care. However, several issues can hamper the promotion and sustainability of voluntary blood donation programs. This article is about a hackathon in the field of transfusion medicine that was designed to stimulate original ideas to promote voluntary blood donation.

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The problem at hand is the significant global health challenge posed by children's diseases, where timely and accurate diagnosis is crucial for effective treatment and management. Conventional diagnosis techniques are typical, use tedious processes and generate inaccurate results since they are executed by human beings and cause delays in treatment that can be fatal. Considering these and other shortcomings there exists a need to have more efficient and accurate solutions based on artificial intelligence.

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