An Evolutionary Federated Learning Approach to Diagnose Alzheimer's Disease Under Uncertainty.

Alzheimer's disease (AD) leads to severe cognitive impairment and functional decline in patients, and its exact cause remains unknown. Early diagnosis of AD is imperative to enable timely interventions that can slow the progression of the disease. This research tackles the complexity and uncertainty of AD by employing a multimodal approach that integrates medical imaging and demographic data.

Familial Mediterranean Fever (FMF): Emerging Concepts in Diagnosis, Pain Management, and Novel Treatment Options: A Narrative Review.

Purpose Of Review: Familial Mediterranean Fever (FMF) is a hereditary autoinflammatory disorder predominantly affecting individuals of Mediterranean and Middle Eastern descent, including those with certain heritages including Sephardic Jewish, Armenian, Turkish, and Arab. The disorder affects up to 1 in 200 people making it a very common etiology for pain states worldwide, including serositis mediated painful states of the chest, joint, and abdomen.

Recent Findings: Defined by recurrent episodes of fever and inflammation, FMF can lead to not only severe pain, but complications such as renal amyloidosis, if untreated.

Application of Monte Carlo simulation and artificial neural network model to probabilistic health risk assessment in fluoride-endemic areas.

Groundwater contamination with fluoride is a considerable public health concern that affects millions of people worldwide. The rapid growth of urbanization has led to increase in groundwater contamination. The health risk assessment focuses on both acute and chronic health consequences as it investigates the extent and effects of fluoride exposure through contaminated groundwater.

Enhancing Interpretable, Transparent, and Unobtrusive Detection of Acute Marijuana Intoxication in Natural Environments: Harnessing Smart Devices and Explainable AI to Empower Just-In-Time Adaptive Interventions: Longitudinal Observational Study.

Background: Acute marijuana intoxication can impair motor skills and cognitive functions such as attention and information processing. However, traditional tests, like blood, urine, and saliva, fail to accurately detect acute marijuana intoxication in real time.

Objective: This study aims to explore whether integrating smartphone-based sensors with readily accessible wearable activity trackers, like Fitbit, can enhance the detection of acute marijuana intoxication in naturalistic settings.

Transcutaneous Electrical Nerve Stimulation for Prevention and Treatment of Post-Herpetic Neuralgia: A Narrative Review.

The present investigation evaluated transcutaneous electrical nerve stimulation (TENS) for the non-pharmacological treatment of post-herpetic neuralgia (PHN). PHN is the most common complication of the Herpes Zoster virus, affecting one in every five patients with shingles, and presents as intense neuropathic pain that can persist for 90 days or longer after the initial onset of symptoms. Current pharmacological treatment options are mainly limited to symptom management, including oral medications such as tricyclic antidepressants and gabapentinoid preparations, as well as topical options such as lidocaine or capsaicin.