Neem gum and its derivatives as potential polymeric scaffold for diverse applications: a review

International Journal of Biological Macromolecules, Journal Year: 2025, Volume and Issue: unknown, P. 143012 - 143012

Published: April 1, 2025

Language: Английский

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Nanotechnology-based drug delivery for breast cancer treatment: Current applications and future directions

European Journal of Medicinal Chemistry Reports, Journal Year: 2025, Volume and Issue: unknown, P. 100268 - 100268

Published: April 1, 2025

Language: Английский

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Strengthening Drug Safety and Public Health Surveillance in the United States: The Role of Artificial Intelligence in Pharmacovigilance

Published: Jan. 1, 2025

Language: Английский

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Farmasi Cerdas: Era Baru Penemuan Obat dengan AI dan Big Data

MEDICINUS, Journal Year: 2025, Volume and Issue: 38(1), P. 27 - 36

Published: Jan. 1, 2025

Proses penemuan obat telah memasuki era baru dengan munculnya kecerdasan buatan (artificial intelligence/AI) dan big data. Pendekatan tradisional, panjang, mahal kini dilengkapi alternatif yang efisien berkat kemampuan AI untuk menganalisis pola kompleks data mengintegrasikan kumpulan berskala besar. Artikel ini membahas peran teknologi tersebut dalam mempercepat inovasi farmasi, mengulas aplikasi praktis, menyoroti tantangan serta prospek masa depan. Dengan data, industri farmasi dapat memajukan pengobatan presisi memperdalam pemahaman kita tentang biologi penyakit.

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AI in autoimmune diseases: Transforming diagnosis and treatment

Journal of Pharmaceutical and Biological Sciences, Journal Year: 2025, Volume and Issue: 12(2), P. 109 - 118

Published: Jan. 9, 2025

Because of their diverse clinical manifestations and intricate pathophysiology, autoimmune diseases which are defined by the immune system wrongly attacking healthy tissues present serious difficulties. Artificial intelligence (AI) has shown revolutionary promise in this field, especially improving diagnostic precision, facilitating tailored treatment plans, offering real-time illness tracking. This paper highlights AI's role assessing various datasets pertaining to function pathology while critically examining applications AI therapy diseases. In order find new biomarkers enable early accurate detection disorders, advanced approaches such as machine learning deep have proven essential. AI-powered predictive models demonstrated predicting periods remission disease flares, allowing for prompt focused modifications. Furthermore, accelerating identification promising therapeutic candidates lowering related costs, is transforming drug discovery repurposing. However, issues including data heterogeneity, algorithmic transparency, patient confidence AI-driven suggestions limit full potential need ethical frameworks interdisciplinary collaboration these limits suggesting solutions. shows transform diagnosis, treatment, management disorders combining recent developments future applications. will pave way a where healthcare solutions proactive, accurate, individualized.

Language: Английский

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Fabrication of Organ-on-a-Chip using Microfluidics

Bioprinting, Journal Year: 2025, Volume and Issue: unknown, P. e00394 - e00394

Published: Jan. 1, 2025

Language: Английский

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Artificial Intelligence, Computational Tools and Robotics for Drug Discovery, Development, and Delivery

Intelligent Pharmacy, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

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AI-Driven Innovation in Skin Kinetics for Transdermal Drug Delivery: Overcoming Barriers and Enhancing Precision

Pharmaceutics, Journal Year: 2025, Volume and Issue: 17(2), P. 188 - 188

Published: Feb. 2, 2025

Transdermal drug delivery systems (TDDS) offer an alternative to conventional oral and injectable administration by bypassing the gastrointestinal tract liver metabolism, improving bioavailability, minimizing systemic side effects. However, widespread adoption of TDDS is limited challenges such as skin’s permeability barrier, particularly stratum corneum, need for optimized formulations. Factors like skin type, hydration levels, age further complicate development universally effective solutions. Advances in artificial intelligence (AI) address these through predictive modeling personalized medicine approaches. Machine learning models trained on extensive molecular datasets predict accelerate selection suitable candidates. AI-driven algorithms optimize formulations, including penetration enhancers advanced technologies microneedles liposomes, while ensuring safety efficacy. Personalized design tailors individual patient profiles, enhancing therapeutic precision. Innovative systems, sensor-integrated patches, dynamically adjust release based real-time feedback, optimal outcomes. AI also streamlines pharmaceutical process, from disease diagnosis prediction distribution layers, enabling efficient formulation development. This review highlights AI’s transformative role TDDS, applications Deep Neural Networks (DNN), Artificial (ANN), BioSIM, COMSOL, K-Nearest Neighbors (KNN), Set Covering (SVM). These revolutionize both non-skin diseases, demonstrating potential overcome existing barriers improve care innovative

Language: Английский

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The therapeutic potential of nanoencapsulated anti-inflammatory drugs delivered to the gut

Nanomedicine, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 3

Published: Feb. 5, 2025

Language: Английский

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Advances in bioinformatic methods for the acceleration of the drug discovery from nature

Phytomedicine, Journal Year: 2025, Volume and Issue: 139, P. 156518 - 156518

Published: Feb. 14, 2025

Language: Английский

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