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.
Author Name: Janet Del Rocío Gordillo Cortaza |
|
Journal of Nutrition and Health Sciences
Prolonged war context in Eastern DRC favoring the emergence of stress gastritis, caused by chronic exposure to
violence, forced displacement, and insecurity.
Author Name: Dujardin MAKEDA |
|
Journal of Gastroenterology and its Complications
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.
Author Name: Sharon Giese MD |
|
Journal of Obesity and Overweight
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
Author Name: Suhail Rasool |
|
Journal of Neurology and Neurological Disorders
Modulation of Neuroinflammatory Responses to Neural Implants
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.
Author Name: Janet Del Rocío Gordillo Cortaza |
|
Modulation of Neuroinflammatory Responses to Neural Implants
Prolonged war context in Eastern DRC favoring the emergence of stress gastritis, caused by chronic exposure to
violence, forced displacement, and insecurity.
Author Name: Dujardin MAKEDA |
|
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.
Author Name: Sharon Giese MD |
|
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
Author Name: Suhail Rasool |
|