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Recent Articles

Objective: The purpose of this study was to analyze the direct effect of the caloric value of breakfast on the nutritional status of schoolchildren in an educational center.
This retrospective chart review aimed to assess the efficacy of compounded semaglutide, the active ingredient of an FDA-approved weight loss drug for patients with obesity, for weight loss in otherwise healthy, regular, and overweight people (BMI < 29.9). Additionally, a novel method to declare the ideal or target weight, which bridges the difference in body composition, bone structure and sex is proposed. Achieving a target weight is also proposed to measure the success of the elective weight loss (EWL™) program.
Neural implants have revolutionized neurology and neuroscience by offering novel therapeutic avenues for neurological dis orders and functional restoration. However, their efficacy is often compromised by neuroinflammation, a complex and mul tifaceted response that adversely affects device performance and longevity. Understanding the mechanisms underlying neu roinflammation and its impact on neural implants are critical for developing strategies to mitigate these effects. Advances in biocompatible biomaterials and implant technologies, informed by neuroinflammatory research, hold promise for reducing immune reactivity and enhancing device functionality. Machine learning and novel signal processing methods are two of the most important recent advancements in software technology that have contributed to this quick progress. Application development in neuroscience is increasing as artificial intelligence (AI) systems get more sophisticated, effective, and quick. AI has the potential to enhance neural implant signal processing methods, such as the brain's interpretation of electrical im pulses. The quality of life and long-term outcomes for people with neurological disorders may improve as a result of these important advancements in neurotechnology

Modulation of Neuroinflammatory Responses to Neural Implants

This retrospective chart review aimed to assess the efficacy of compounded semaglutide, the active ingredient of an FDA-approved weight loss drug for patients with obesity, for weight loss in otherwise healthy, regular, and overweight people (BMI < 29.9). Additionally, a novel method to declare the ideal or target weight, which bridges the difference in body composition, bone structure and sex is proposed. Achieving a target weight is also proposed to measure the success of the elective weight loss (EWL™) program.

Modulation of Neuroinflammatory Responses to Neural Implants

Neural implants have revolutionized neurology and neuroscience by offering novel therapeutic avenues for neurological dis orders and functional restoration. However, their efficacy is often compromised by neuroinflammation, a complex and mul tifaceted response that adversely affects device performance and longevity. Understanding the mechanisms underlying neu roinflammation and its impact on neural implants are critical for developing strategies to mitigate these effects. Advances in biocompatible biomaterials and implant technologies, informed by neuroinflammatory research, hold promise for reducing immune reactivity and enhancing device functionality. Machine learning and novel signal processing methods are two of the most important recent advancements in software technology that have contributed to this quick progress. Application development in neuroscience is increasing as artificial intelligence (AI) systems get more sophisticated, effective, and quick. AI has the potential to enhance neural implant signal processing methods, such as the brain's interpretation of electrical im pulses. The quality of life and long-term outcomes for people with neurological disorders may improve as a result of these important advancements in neurotechnology

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