Artificial Intelligence (AI) Applications in Drug Discovery and Drug Delivery: Revolutionizing Personalized Medicine

Pharmaceutics, Journal Year: 2024, Volume and Issue: 16(10), P. 1328 - 1328

Published: Oct. 14, 2024

Artificial intelligence (AI) encompasses a broad spectrum of techniques that have been utilized by pharmaceutical companies for decades, including machine learning, deep and other advanced computational methods. These innovations unlocked unprecedented opportunities the acceleration drug discovery delivery, optimization treatment regimens, improvement patient outcomes. AI is swiftly transforming industry, revolutionizing everything from development to personalized medicine, target identification validation, selection excipients, prediction synthetic route, supply chain optimization, monitoring during continuous manufacturing processes, or predictive maintenance, among others. While integration promises enhance efficiency, reduce costs, improve both medicines health, it also raises important questions regulatory point view. In this review article, we will present comprehensive overview AI's applications in covering areas such as discovery, safety, more. By analyzing current research trends case studies, aim shed light on transformative impact industry its broader implications healthcare.

Language: Английский

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Mental Health and Well-Being in the Modern Era: A Comprehensive Review of Challenges and Interventions

Cureus, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 19, 2025

A critical global concern in the modern era is mental health and well-being, where rapid socioeconomic change, technological advancements, lifestyle shifts have significantly impacted individuals' psychological health. Primary stressors today include urbanization, digital dependency, social isolation, economic pressures, alongside escalating prevalence of disorders such as depression, anxiety, burnout. The COVID-19 pandemic has further exacerbated crises, increasing vulnerability populations during times uncertainty instability. This paper critically examines emerging connections between factors sleep, diet, exercise. Interventions are discussed from a multidimensional perspective, encompassing pharmacological treatments, psychotherapy, tools, community-based programs. Special attention given to rise telemedicine mobile apps, offering innovative solutions bridge gaps healthcare accessibility. Furthermore, review underscores importance preventive approaches, promoting literacy, reducing stigma, fostering resilience through mindfulness, cognitive behavioral techniques, support systems.

Language: Английский

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Integrating AI-driven wearable devices and biometric data into stroke risk assessment: A review of opportunities and challenges

Clinical Neurology and Neurosurgery, Journal Year: 2024, Volume and Issue: 249, P. 108689 - 108689

Published: Dec. 10, 2024

Stroke is a leading cause of morbidity and mortality worldwide, early detection risk factors critical for prevention improved outcomes. Traditional stroke assessments, relying on sporadic clinical visits, fail to capture dynamic changes in such as hypertension atrial fibrillation (AF). Wearable technology (devices), combined with biometric data analysis, offers transformative approach by enabling continuous monitoring physiological parameters. This narrative review was conducted using systematic identify analyze peer-reviewed articles, reports, case studies from reputable scientific databases. The search strategy focused articles published between 2010 till date pre-determined keywords. Relevant were selected based their focus wearable devices AI-driven technologies prevention, diagnosis, rehabilitation. literature categorized thematically explore applications, opportunities, challenges, future directions. explores the current landscape assessment, focusing role detection, personalized care, integration into practice. highlights opportunities presented predictive analytics, where algorithms can provide tailored interventions. Personalized powered machine learning, enable individualized care plans. Furthermore, telemedicine facilitates remote patient rehabilitation, particularly underserved areas. Despite these advances, challenges remain. Issues accuracy, privacy concerns, wearables healthcare systems must be addressed fully realize potential. As evolves, its application could revolutionize improving outcomes reducing global burden stroke.

Language: Английский

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OLFACTORY INTERVENTIONS FOR SLEEP ENHANCEMENT: A REVIEW

Universal Journal of Pharmaceutical Research, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 15, 2025

Sleep is essential for cognitive function, emotional balance, and overall well-being. Disruptions like insomnia or poor sleep quality can have negative consequences. Various methods, including bedtime perfumes, been studied to improve sleep. This review examines the scientific basis of scent-based enhancement, focusing on olfactory system effects specific aromatic compounds The plays a crucial role in how scents influence Odor molecules bind receptors nasal cavity, sending signals bulb, which processes these relays them limbic system. connection allows evoke responses impact Historically, scent therapy has used across cultures. effectiveness perfumes depends their delivery methods. Diffusers, sprays roll-on oils are common ways disperse oils. Incorporating into comprehensive hygiene routine, consistent schedule calming environment, maximizes benefits. Future research should identify that induce sleep, explore interaction between stimuli stages investigate long-term safety efficacy perfumes. In conclusion, through power scent. Understanding pathways, historical context helps individuals make informed choices about using fragrances. Peer Review History: Received 2 October 2024; Reviewed 11 November; Accepted 20 December; Available online 15 January 2025 Academic Editor: Dr. Gehan Fawzy Abdel Raoof Kandeel, Pharmacognosy Department, National Research Centre, Dokki, 12622, Giza, Egypt, [email protected] Average marks at initial stage: 6.5/10 publication 7.0/10

Language: Английский

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Disruption of sleep macro- and microstructure in Alzheimer’s disease: overlaps between neuropsychology, neurophysiology, and neuroimaging

GeroScience, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 28, 2024

Abstract Alzheimer’s disease (AD) is the leading cause of dementia, often associated with impaired sleep quality and disorganized structure. This study aimed to characterize changes in macrostructure K-complex density AD, relation neuropsychological performance brain structural changes. We enrolled 30 AD healthy control participants, conducting exams, MRI, one-night polysomnography. patients had significantly reduced total time (TST), efficiency, relative durations non-rapid eye movement (NREM) stages 2 (S2), 3 (S3), rapid (REM) ( p < 0.01). (KC) during entire period S2 0.001) was decreased AD. found strong correlations between global cognitive S3 0.001; r = 0.86) REM 0.87). TST NREM stage 1 (S1) showed a moderate negative correlation amygdaloid hippocampal volumes 0.02; 0.51–0.55), while positive cingulate cortex volume 0.45–0.61). KC strongly correlated function 0.66) thickness anterior 0.05; 0.45–0.47). Our results indicate significant organization paralleling decline. Decreased slow wave KCs are atrophy. Since prominent early they may serve as prognostic markers or therapeutic targets.

Language: Английский

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Association Between Sleep Position, Obesity, and Obstructive Sleep Apnea Severity

Journal of Personalized Medicine, Journal Year: 2024, Volume and Issue: 14(11), P. 1087 - 1087

Published: Nov. 1, 2024

This study examines the relationship between obstructive sleep apnea severity, position, and body weight, particularly focusing on negative impact of sleeping in a supine position combined with being overweight population-based sample.

Language: Английский

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