Emerging Trends in Personalized Medicines

Latest articles

• Published Subscription Review Article 30 Jun 2026

  Personalized Medicine: the impact of ferrofluids, clinical procedures, strategies, applications,challenges, current trends, and reseach opportunities.

  By Gizachew Diga Milki

  Abstract: Personalized medicine has shown progressive development and evolution in health care systems. It is considered as transformative emerging medicine encorporating advanced technologies including genomics, AI as thinking partner, and nanotechnology in a greater extent. The quest for painless injection, lesstoxicity, rapid cell separation, and gene sequencing make ferrofluid the focus of personalized medicine. Currently, magnetic nanoparicles and ferrofluides are becoming driving force of personalized medicine. However, contronlling and managing nanoscale …

  Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 Read article →

• Published Subscription Review Article 25 Jun 2026

  AI-Driven Pharmacogenomics and Precision Medicine: Future of Personalized Therapy

  By Kabhi Khanna, Chetna Chhabra, Rohit Saroha, Karan Singh Gehlot, Gauri Mudgal

  Abstract: Pharmacogenomics and artificial intelligence (AI) are emerging as important drivers of precision medicine, enabling healthcare systems to adopt individualized therapeutic approaches. Pharmacogenomics examines how genetic variations influence drug response, efficacy, metabolism, and toxicity, while AI provides advanced computational tools for analyzing complex genomic and clinical data. This review highlights the integration of AI-driven pharmacogenomics in personalized therapy and its potential to improve treatment outcomes. Machine learning, deep learning, natural language …

  Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 · pp. 1–12 Read article →

• Published Subscription Review Article 30 May 2026

  Explainable Artificial Intelligence in Personalized Medicine: Emerging Clinical Perspectives

  By Rashmi Singh

  Abstract: The convergence of artificial intelligence (AI) and precision medicine has transformed contemporary healthcare by enabling data-driven clinical decision-making, individualized therapeutic interventions, and predictive diagnostics. However, despite remarkable advances in machine learning (ML) and deep learning (DL), the widespread adoption of AI in healthcare remains constrained by the “black-box” nature of many computational systems. Clinicians, regulatory agencies, and patients increasingly demand transparency, interpretability, and trustworthiness in AI-guided medical recommendations. Explainable Artificial …

  Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 · pp. 13–29 Read article →

• Published Subscription Review Article 31 Jan 2026

  A Review on Transforming Patient Pathways: The Impact of Pharmaceutical Software on Drug Manufacturing and Safety Monitoring

  By Mohd. Wasiullah, Piyush Yadav, Aman Kumar Yadav

  Abstract: The development, production, and safety monitoring of pharmaceuticals are being revolutionized by incorporating digital technologies. Throughout drug lifecycles, pharmaceutical software which includes cloud-based systems, automation, data analytics, and artificial intelligence (AI) has emerged behind efficiency and innovation. Real-time monitoring, predictive maintenance, and process optimization are made possible in manufacturing by software tools like Digital Twins, Manufacturing Execution Systems (MES), and Quality Management Systems (QMS). These technologies improve batch consistency, lower …

  Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 40–46 Read article →

• Published Subscription Review Article 31 Jan 2026

  A Review on the Interconnection Between Drug Design and Controlled Drug Delivery Systems

  By Mohd. Wasiullah, Piyush Yadav, Amit Pal

  Abstract: Drug discovery and delivery are two branches of science that have historically developed as independent areas of discovery – one focused on optimizing the properties of molecules for biological activity, and the other on controlling the rate, site, and duration for drug release. However, in contemporary pharmacy, these two areas have merged into a single integrated approach – where drug discovery and delivery strategies co-influence each other at each point …

  Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 47–52 Read article →

• Published Subscription Review Article 31 Jan 2026

  A Comprehensive Review on Federated Learning in Disease Detection

  By Projesh Saha, Upasna Rai, Disha Bhattacharjee, Poulami Chhetri

  Abstract: Healthcare data, which is frequently dispersed among various organisations, has enormous potential to improve predictive analytics and illness identification. However, there are substantial privacy & legal obstacles to sharing this private data for centralised model training. Federated Learning is a paradigm shift that allows several organisations to work together to build a global model without disclosing raw patient information. Federated Learning uses a larger dataset to provide more reliable insights …

  Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 1–21 Read article →

• Published Subscription Review Article 31 Jan 2026

  Personalized Therapy Using Drug Delivery Devices

  By Kazi Kutubuddin

  Abstract: The persistent challenge in modern medicine lies in inter-patient heterogeneity, rendering standardized drug dosing protocols suboptimal for many chronic conditions. Traditional pharmacokinetics fail to account for real-time biological fluctuations, leading to cycles of ineffective treatment or dose-limiting toxicity. This paper explores the critical intersection of advanced drug delivery devices (DDDs) and personalized medicine, positioning these technologies as the vital link translating genomic and biological data into tangible, patient- specific interventions. …

  Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 53–62 Read article →

• Published Subscription Review Article 25 Jan 2026

  Clinical Medicine Done with Clinical Accuracy

  By V Basil Hans

  Abstract: The advancement of clinical medicine has progressively underscored the significance of accuracy in diagnosis and therapy. This article examines the concept of "Clinical Medicine Administered with Clinical Precision," emphasising how innovations in diagnostics, data analytics, and personalised treatments are transforming the healthcare environment. Clinicians can provide therapy that is not only successful but also personalised to each patient's requirements by combining evidence-based practices with patient-specific factors including genetic profiles, comorbidities, …

  Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 6–19 Read article →

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