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.
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NIH Funded Articles

- Endothelial Cells May Have Tissue-Specific Origins
- Wake-up Strokes Are Similar to Known-Onset Morning Strokes in Severity and Outcome
- Predictors of Obstructive Sleep Apnea Risk among Blacks with Metabolic Syndrome
- Objectively Coding Intervention Fidelity During A Phone-Based Obesity Prevention Study
- Acculturation and Subclinical Atherosclerosis among U.S. South Asians: Findings from the MASALA study
- Molecular Mechanism Linking BRCA1 Dysfunction to High Grade Serous Epithelial Ovarian Cancers with Peritoneal Permeability and Ascites
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Recent Articles
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
Effect of Graded Levels of Concentrate Mixture on Skin and Leather Quality Traits of Afar and Bati Goat Breeds Fed on Panicum Grass Hay as Basal Diet
The evolution of information technology has brought enormous changes in people’s lives.
These changes have led to enhance the quality of life of individuals, but it has its own
loopholes. This can be witnessed in terms of the origin of cyber-crimes in the society.
Computer and internet-oriented crimes are referred to as cyber-crimes
Role of the Change in BMI Classification as a Prognostic Factor for the Spontaneous Healing of Subclinical Hypothyroidism in Children Aged from 2 to 14 Years
Subclinical hypothyroidism (SCH) is a biochemical disorder characterized by elevated serum thyroid-stimulat
ing hormone (TSH) with normal free thyroxine (FT4) levels, in the absence of clinical symptoms. The prevalence of SCH is
approximately 1.7% in the pediatric population. Several prognostic factors influence the progression to overt hypothy
roidism (OH), which requires lifelong therapy and follow-up. These factors include goiter, elevated TSH levels, positive thy
roid antibodies, and obesity. Obesity may also contribute to the development of SCH, making weight loss and monitoring of
TSH levels important.The study aimed to assess the role of the change in BMI classification as a prognostic factor for the
spontaneous healing of SCH