The future of precision medicine in personalized cancer treatment

The field of cancer treatment has witnessed significant advancements with the emergence of precision medicine, which tailors treatment based on individual genetic, environmental, and lifestyle factors. This research explores the future of precision medicine in the context of personalized cancer treatment, focusing on the application of advanced technologies such as genomic sequencing, biomarker discovery, and targeted therapies. The integration of artificial intelligence (AI) and machine learning (ML) in precision oncology is revolutionizing the way we diagnose, predict, and treat cancer. By identifying specific genetic mutations and molecular characteristics unique to each patient, personalized cancer treatments can improve efficacy, reduce side effects, and increase survival rates. This paper delves into the challenges and potential of precision medicine in oncology, highlighting future directions and the role of interdisciplinary collaboration in advancing personalized cancer treatment.

Authors

Publication Details

Journal
Journal of Neonatal Surgery
Published
2025-02-06
DOI
https://doi.org/10.52783/jns.v14.1551
Citations
1
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.36
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The future of precision medicine in personalized cancer treatment

Himanshu Nirmal Chandu, Naina Bhoyar
1 citations
Journal of Neonatal Surgery
Radiomics and Machine Learning in Medical Imaging
1.36
article

The future of precision medicine in personalized cancer treatment

Himanshu Nirmal Chandu, Naina Bhoyar
article en
1 citations

Abstract

The field of cancer treatment has witnessed significant advancements with the emergence of precision medicine, which tailors treatment based on individual genetic, environmental, and lifestyle factors. This research explores the future of precision medicine in the context of personalized cancer treatment, focusing on the application of advanced technologies such as genomic sequencing, biomarker discovery, and targeted therapies. The integration of artificial intelligence (AI) and machine learning (ML) in precision oncology is revolutionizing the way we diagnose, predict, and treat cancer. By identifying specific genetic mutations and molecular characteristics unique to each patient, personalized cancer treatments can improve efficacy, reduce side effects, and increase survival rates. This paper delves into the challenges and potential of precision medicine in oncology, highlighting future directions and the role of interdisciplinary collaboration in advancing personalized cancer treatment.

Journal of Neonatal SurgeryVol. 14(1S)
Openalex Percentile: Top 23%
Radiomics and Machine Learning in Medical Imaging
1.36
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.