An Emerging Prospective of Antipsychotics for Treating Neurodegenerative Disorders.

CNS illnesses specified by slow deprivation of especially preganglionic neurons, as opposed to the selective static neuronal loss caused by a toxic or metabolic condition, are known as Neurodegenerative disorders. Neurodegenerative disorders are differentiated clinically by behavioral or cognitive problems. The management and treatment of neurodegenerative disorders pose significant challenges, necessitating a multidimensional approach.

Aiding Clinical Decision-Making at the Individual and Community Level Using Mobile Sensor Data: Study Protocol for an Experimental Design.

Background Mobile sensor data can provide vital information about patients' behavior and physical activity. In particular, the mobile accelerometer sensor data, if monitored effectively, can be used further for keeping watch on the physical activity of an individual and planning an intervention to improve it. These sensor data can also be used for improving clinical decision-making in sedentary lifestyle-related diseases.

Incidence of Acute Kidney Injury and Mortality Post Successful Cardiac Surgery in a Kashmiri Cohort: A Prospective Comparison of the RIFLE and KDIGO Criteria.

Background and objectives In critically ill patients, acute kidney injury (AKI) influences mortality and morbidity. Few studies have looked at mortality and the frequency of AKI following successful heart and thoracic operations. The current study investigates the association between AKI and mortality rates among patients undergoing post-cardiac surgery care within the Cardiology & Cardio Vascular Thoracic Surgery (CVTS) Intensive Care Unit (ICU).

Assessing patient satisfaction among COVID-19 survivors in Northeast India: a cross-sectional study.

Introduction: This study investigates patient satisfaction among COVID-19 survivors in Northeast India, motivated by the unique long-term healthcare needs of survivors and the critical role of patient satisfaction in assessing and enhancing healthcare quality. By focusing on this underexplored region, the research aims to uncover insights that can guide improvements in patient-centered care and healthcare service delivery in similar contexts.

Materials And Methods: The study was conducted using a Simple Random Sampling technique.

Acceptability and Satisfaction of Patients and Providers With Telemedicine During the COVID-19 Pandemic: A Systematic Review.

COVID-19, also known as coronavirus disease 2019, is an extremely contagious viral sickness caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). After the first cases of this primarily respiratory viral illness were recorded in Wuhan, Hubei Province, China, in late December 2019, SARS-CoV-2 rapidly disseminated across the globe. Consequently, on March 11, 2020, the World Health Organization (WHO) declared it a global pandemic.

Designing and evaluating a Nutritional Assessment and Intervention Kiosk for mother-child dyad to combat double burden of malnutrition.

The study protocol focuses on DBM, proposing a preventive strategy for mother-child pairs that would be accessible, affordable, sustainable, and human-centred. The aim is to guide the development of tools and technologies, passing through stages for gathering a process and presenting health data. The initial stage identifies the rules and models synthesising existing digital interventions combating forms of malnourishment, followed by designing and developing a Nutrition Informatics Intervention, i.

Emerging Role of Plant-Based Bioactive Compounds as Therapeutics in Parkinson's Disease.

Neurological ailments, including stroke, Alzheimer's disease (AD), epilepsy, Parkinson's disease (PD), and other related diseases, have affected around 1 billion people globally to date. PD stands second among the common neurodegenerative diseases caused as a result of dopaminergic neuron loss in the midbrain's substantia nigra regions. It affects cognitive and motor activities, resulting in tremors during rest, slow movement, and muscle stiffness.

Development of an Artificial Intelligence-Guided Citizen-Centric Predictive Model for the Uptake of Maternal Health Services Among Pregnant Women Living in Urban Slum Settings in India: Protocol for a Cross-sectional Study With a Mixed Methods Design.

Background: Pregnant women are considered a "high-risk" group with limited access to health facilities in urban slums in India. Barriers to using health services appropriately may lead to maternal and child mortality, morbidity, low birth weight, and children with stunted growth. With the increase in the use of artificial intelligence (AI) and machine learning in the health sector, we plan to develop a predictive model that can enable substantial uptake of maternal health services and improvements in adverse pregnancy health care outcomes from early diagnostics to treatment in urban slum settings.

Insight on Cardiac Chronobiology and Latest Developments of Chronotherapeutic Antihypertensive Interventions for Better Clinical Outcomes.

Cardiac circadian rhythms are an important regulator of body functions, including cardiac activities and blood pressure. Disturbance of circadian rhythm is known to trigger and aggravate various cardiovascular diseases. Thus, modulating the circadian rhythm can be used as a therapeutic approach to cardiovascular diseases.

A Scoping Review on Long COVID-19: Physiological and Psychological Symptoms Post-Acute, Long-Post and Persistent Post COVID-19.

Background: The identification of persistent symptoms of chronic/long COVID-19 is crucial in understanding the management of long haulers of post COVID-19. Methods: Pub Med (Medline) database was scoped for original articles based on a search strategy related to the objectives. The selected articles post-screening were analyzed for variables relating to chronic/long COVID-19.

Prospective for Diagnosis and Treatment of Diabetic Retinopathy.

Diabetic retinopathy is a posterior eye disorder in which damage occurs to the light sensitive retina due to diabetes mellitus. This disorder specifically affects people aged between 18-64 with type ІІ diabetes. This disease progresses through different pathophysiological pathways, which include oxidative stress, inflammation, stimulation of the growth factor in the eye's vasculature, isoforms of protein kinase C, and also the activation of the hexosamine pathway.

Anti-inflammatory, analgesic and antipyretic activity of methanolic Tecomaria capensis leaves extract.

Objective: To evaluate the analgesic, anti-inflammatory and antipyretic activity of methanolic Tecomaria capensis (T. capensis) leaves extract using different models in rats.

Methods: Methanolic T.

Cassia tora Linn Cream Inhibits Ultraviolet-B-Induced Psoriasis in Rats.

The aim of present study was to determine the antipsoriatic activity of newly formulated O/W creams of methanolic extract of Cassia tora L. leaves by using ultraviolet-B-induced psoriasis in rat. The plant Cassia tora L.

Leaves extract of murraya koenigii linn for anti-inflammatory and analgesic activity in animal models.

This work has been done for the investigation of the anti-inflammatory and analgesic activity of methanol extract of dried leaves of Murraya koenigii Linn by oral administration at dose of 100, 200 and 400 mg/kg body weight, to healthy animals. Extract was studied for its anti-inflammatory activity by using carrageenan-induced hind paw edema in albino rats and the mean increase in paw volume and % inhibition in paw volume were measured plethysmometrically at different time intervals after carrageenan (1% w/v) injection. Extract was also evaluated for analgesic activity using Eddy's hot plate method and formalin induced paw licking method in albino rats.