Recent advancements in digital and traditional treatment strategies for major depressive disorder using medicinal herbs DOI Creative Commons

Manasi Khadanga,

Nihar Ranjan Kar, Nityananda Sahoo

et al.

Digital Chinese Medicine, Journal Year: 2024, Volume and Issue: 7(4), P. 365 - 387

Published: Dec. 1, 2024

Language: Английский

Microbiome Integrity Enhances the Efficacy and Safety of Anticancer Drug DOI Creative Commons
Alice Njolke Mafe, Dietrich Büsselberg

Biomedicines, Journal Year: 2025, Volume and Issue: 13(2), P. 422 - 422

Published: Feb. 10, 2025

The intricate relationship between anticancer drugs and the gut microbiome influences cancer treatment outcomes. This review paper focuses on role of integrity in enhancing efficacy safety drug therapy, emphasizing pharmacokinetic interactions microbiota. It explores how disruptions to composition, or dysbiosis, can alter metabolism, immune responses, side effects. By examining mechanisms disruption caused by drugs, this highlights specific case studies like cyclophosphamide, 5-fluorouracil, irinotecan, their impact microbial diversity clinical also discusses microbiome-targeted strategies, including prebiotics, probiotics, postbiotics, fecal microbiota transplantation (FMT), as promising interventions enhance treatment. Furthermore, potential profiling personalizing therapy integrating these into practice is explored. Finally, proposes future research directions, developing novel biomarkers a deeper comprehension drug-microbiome interactions, respond current gaps knowledge improve patient outcomes care.

Language: Английский

Citations

1

Smart biomaterials in healthcare: Breakthroughs in tissue engineering, immunomodulation, patient-specific therapies, and biosensor applications DOI Creative Commons
Ansheed Raheem, Kalpana Mandal, Swarup Biswas

et al.

Applied Physics Reviews, Journal Year: 2025, Volume and Issue: 12(1)

Published: March 1, 2025

Smart biomaterials have significantly impacted human healthcare by advancing the development of medical devices designed to function within tissue, mimicking behavior natural tissues. While intelligence has evolved from inert active over past few decades, smart take this a step further making their surfaces or bulk respond based on interactions with surrounding tissues, imparting outcomes similar tissue functions. This interaction helps in creating stimuli-responsive biomaterials, which can be useful engineering, regenerative medicine, autonomous drug delivery, orthopedics, and much more. Traditionally, material engineering focused refining static properties accommodate them body without evoking an immune response, was major obstacle unrestricted operation. review highlights explains various approaches currently under research for developing that tune responses bodily factors like temperature, pH, ion concentration external magnetism, light, conductivity. Applications soft hard 4D printing, scaffold design are also discussed. The advanced application microfluidics, organ-on-a-chip models, extensively benefits intrinsic discussed below. elaborates how biomaterial could revolutionize biosensor applications, thereby improving patient care quality. We delineate limitations key challenges associated providing insights into path forward outlining future directions next-generation will facilitate clinical translation.

Language: Английский

Citations

1

Harnessing Artificial Intelligence in Drug Discovery: Transformative Approaches and Future Directions DOI Creative Commons
Dipmala Salunke,

Sunil Thitame,

Ashwini Aher

et al.

Journal of Pharmacy And Bioallied Sciences, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 15, 2025

A BSTRACT The most strategic weapon in drug discovery the recent past has been artificial intelligence (AI)—bringing new approaches to one of toughest areas pharmaceutical industry. Various AI such as DL and ML methods utilized various stages development including but not limited virtual screening target identification are also discussed here. Employing this approach, review looks at programs platforms that exist today a bid outline what future with field stock. In addition this, does only give momentary state affairs space, briefly discusses is store next, along drawback opportunity more so from perspective.

Language: Английский

Citations

0

A comprehensive review of neurotransmitter modulation via artificial intelligence: A new frontier in personalized neurobiochemistry DOI

Jaleh Bagheri Hamzyan Olia,

Arasu Raman, Chou‐Yi Hsu

et al.

Computers in Biology and Medicine, Journal Year: 2025, Volume and Issue: 189, P. 109984 - 109984

Published: March 14, 2025

Language: Английский

Citations

0

The Role of Artificial Intelligence in Economic Development DOI

J. B. Oleet

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 339 - 364

Published: Feb. 21, 2025

This chapter explores the transformative influence of artificial intelligence (AI) on economic development, providing an in-depth examination its impact across critical sectors such as agriculture, healthcare, manufacturing, and finance. AI's ability to enhance productivity, drive innovation, foster inclusivity, particularly in developing nations, is a central theme. The also addresses significant ethical challenges posed by AI adoption, including concerns about algorithmic bias, data privacy, potential for widespread job displacement. In response these challenges, authors advocate creation robust regulatory frameworks guidelines designed mitigate risks ensure responsible deployment technologies. Additionally, emphasizes crucial role strategic policy interventions, education, workforce development maximizing support sustainable equitable growth. serves essential resource policymakers, business leaders, scholars alike.

Language: Английский

Citations

0

The paradigm of digital health: AI applications and transformative trends DOI
Zubia Rashid, Hania Ahmed, Neha Nadeem

et al.

Neural Computing and Applications, Journal Year: 2025, Volume and Issue: unknown

Published: March 15, 2025

Language: Английский

Citations

0

Transition to Advanced Heart Failure: From Identification to Improving Prognosis DOI Creative Commons

Nikolaos-Iason Tepetes,

Christos Kourek,

Adamantia Papamichail

et al.

Journal of Cardiovascular Development and Disease, Journal Year: 2025, Volume and Issue: 12(3), P. 104 - 104

Published: March 17, 2025

Advanced heart failure (AHF) represents the terminal stage of (HF), characterized by persistent symptoms and functional limitations despite optimal guideline-directed medical therapy (GDMT). This review explores clinical definition, pathophysiology, therapeutic approaches for AHF. Characterized severe symptoms, New York Heart Association (NYHA) class III-IV, significant cardiac dysfunction, frequent hospitalizations, AHF presents substantial challenges in prognosis management. Pathophysiological mechanisms include neurohormonal activation, ventricular remodeling, systemic inflammation, leading to reduced output organ dysfunction. Therapeutic strategies involve a multidisciplinary approach, including pharmacological treatments, device-based interventions like assisted devices, advanced options such as transplantation. Despite progress, management faces limitations, disparities access care need personalized approaches. Novel therapies, artificial intelligence, remote monitoring technologies offer future opportunities improve outcomes. Palliative care, which focuses on symptom relief quality life, remains crucial patients ineligible invasive interventions. Early identification timely intervention are pivotal enhancing survival outcomes this vulnerable population. underscores necessity integrating innovative technologies, medicine, robust palliative into address its high morbidity mortality.

Language: Английский

Citations

0

Current Research in Drug-Free Cancer Therapies DOI Creative Commons

Akshaya Andavar,

Varsha Rajesh Bhagavathi,

J Cousin

et al.

Bioengineering, Journal Year: 2025, Volume and Issue: 12(4), P. 341 - 341

Published: March 26, 2025

Cancer treatment has historically depended on conventional methods like chemotherapy, radiation, and surgery; however, these strategies frequently present considerable limitations, including toxicity, resistance, negative impacts healthy tissues. In addressing challenges, drug-free cancer therapies have developed as viable alternatives, utilizing advanced physical biological to specifically target tumor cells while reducing damage normal This review examines several strategies, such high-intensity focused energy beams, nanosecond pulsed electric fields, photothermal therapy well the use of inorganic nanoparticles promote selective apoptosis. We also investigate significance targeting microenvironment, precision medicine, immunotherapy in progression personalized therapies. Although approaches demonstrate significant promise, challenges scalability, safety, regulatory obstacles must be resolved for clinical application. paper presents an overview current research therapies, emphasizing recent advancements, underlying scientific principles, steps required implementation.

Language: Английский

Citations

0

Advancement of artificial intelligence based treatment strategy in type 2 diabetes: A critical update DOI Creative Commons
Aniruddha Sen,

P. Mohanraj,

Vijaya Laxmi

et al.

Journal of Pharmaceutical Analysis, Journal Year: 2025, Volume and Issue: unknown, P. 101305 - 101305

Published: April 1, 2025

Language: Английский

Citations

0

Advancing Diabetes Diagnosis in South India Using Artificial Intelligence: A Hub-and-Spoke Model for Early Intervention DOI
Mrinmoy Roy,

G Dhruva,

Maninder Singh

et al.

Hospital Topics, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 14

Published: April 10, 2025

Diabetes mellitus, a non-communicable metabolic disorder, is significant global health concern, with rising prevalence rates resulting in increased economic burdens on healthcare systems. Early detection and diagnosis are crucial for preventing severe complications. Artificial Intelligence (AI) offers immense potential to revolutionize diabetes management early detection. This study aims understand the factors influencing medical professionals' adoption of AI-based tools intervention, develop predictive models identify adopters propose Hub-and-Spoke model screening South India, particularly segments predominantly rice-based diet. By leveraging machine learning techniques, identifies key demographic professional that predict AI intent. The proposed addresses logistical challenges screening, underserved regions. research contributes effort combat diabetes, improve outcomes, optimize resource allocation.

Language: Английский

Citations

0