Pharmacological Approaches and Innovative Strategies for Individualized Patient Care

Personalized medicine is an evolving paradigm that aims to tailor therapeutic interventions to individual patient characteristics. With a growing understanding of the genetic, epigenetic, and molecular mechanisms underlying diseases, tailored therapies are becoming more feasible and effective. This review highlights the significant advancements in personalized medicine, focusing specifically on pharmacological strategies. The article explores the integration of genomics, transcriptomics, proteomics, and metabolomics in drug development and therapy optimization. Pharmacogenomics, the customization of drug therapy based on an individual's genetic makeup, receives particular emphasis. This leads to the identification of specific biomarkers that can predict therapeutic response, drug toxicity, and susceptibility to various diseases. Additionally, the development of patented drugs and personalized therapeutic approaches based on these discoveries underscores the innovation in this field. Together with computational tools and artificial intelligence, these advancements contribute to tailored treatment plans for patients with conditions such as cancer, cardiovascular diseases, and neurological disorders. We also highlight the challenges and ethical considerations in implementing personalized medicine, such as data privacy, cost-effectiveness, and accessibility. We outline future prospects and ongoing research in this field, emphasizing the importance of collaborative efforts between researchers, clinicians, pharmacists, and regulatory authorities.

Authors

Institutions

Publication Details

Journal
Recent Patents on Biotechnology
Published
2025-01-22
DOI
https://doi.org/10.2174/0118722083359334250116063638
Citations
3
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
4.51
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pharmacological Approaches and Innovative Strategies for Individualized Patient Care

Kuldeep Singh, Jeetendra Kumar Gupta, Divya Jain, Shivendra Kumar et al.
3 citations
Recent Patents on Biotechnology
Computational Drug Discovery Methods
4.51
article

Pharmacological Approaches and Innovative Strategies for Individualized Patient Care

Kuldeep Singh, Jeetendra Kumar Gupta, Divya Jain, Shivendra Kumar, Amnesh Kumar Verma
article en
3 citations

Abstract

Personalized medicine is an evolving paradigm that aims to tailor therapeutic interventions to individual patient characteristics. With a growing understanding of the genetic, epigenetic, and molecular mechanisms underlying diseases, tailored therapies are becoming more feasible and effective. This review highlights the significant advancements in personalized medicine, focusing specifically on pharmacological strategies. The article explores the integration of genomics, transcriptomics, proteomics, and metabolomics in drug development and therapy optimization. Pharmacogenomics, the customization of drug therapy based on an individual's genetic makeup, receives particular emphasis. This leads to the identification of specific biomarkers that can predict therapeutic response, drug toxicity, and susceptibility to various diseases. Additionally, the development of patented drugs and personalized therapeutic approaches based on these discoveries underscores the innovation in this field. Together with computational tools and artificial intelligence, these advancements contribute to tailored treatment plans for patients with conditions such as cancer, cardiovascular diseases, and neurological disorders. We also highlight the challenges and ethical considerations in implementing personalized medicine, such as data privacy, cost-effectiveness, and accessibility. We outline future prospects and ongoing research in this field, emphasizing the importance of collaborative efforts between researchers, clinicians, pharmacists, and regulatory authorities.

Recent Patents on BiotechnologyVol. 20(1)
Rajiv Gandhi University of Health Sciences (IN), Uttaranchal University (IN), GLA University (IN)
Openalex Percentile: Top 6%
Computational Drug Discovery Methods
4.51
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Pharmacological Approaches and Innovative Strategies for Individualized Patient Care — Kuldeep Singh, Jeetendra Kumar Gupta, et al. · Recent Patents on Biotechnology (2025) | TGRS Research Map | TGRS