Journal Overview

Artificial Intelligence in Precision Medicine, published by Brieflands, aims to advance healthcare by exploring AI and precision medicine. It provides a platform for researchers and experts to share innovative research on AI applications like machine learning, deep learning, and predictive modeling. The journal covers AI-powered diagnostic tools, genomics, medical imaging, treatment optimization, ethical considerations, and large-scale data integration, fostering collaboration and advancements in AI-driven precision medicine.

Artificial Intelligence in Precision Medicine
ISSN :e: 2950-2934
Frequency :annually

Abstracted/Indexed: Open J-Gate, more
Scope: All aspects of artificial intelligence into the platform of precision medicine, more
Copyright Policy: CC BY-NC 4.0
Publishing Access: Open Access
Peer Review Policy: Double-Blind Peer Review System Open Peer Review

Recent Articles

5 articles
2022-12-31
vol.2,issue1

Explore the latest articles published in this journal for impactful research and the newest advancements in the field.

2
Jan
2023
Precis Med Clin OMICS
Review Article

Role of Enteral Feeding Pumps in Precision Enteral Nutrition

Fatemeh BabaieORCID,
Zahra GhasemiORCID*

|

Final Published

31
Dec
2022
Precis Med Clin OMICS
Review Article

Artificial Intelligence Applications in Clinical Neurosurgery

Pooria SobhanianORCID,
Misagh ShafizadORCID,
Shaghayegh Karami,
Fateme MozaffariORCID,
Amirhossein ArabORCID,
Ghazal RazaniORCID
,et al.

|

Final Published

26
Nov
2022
Precis Med Clin OMICS
Editorial

Clinical Physician Versus Data Scientist: Wearing Different Hats in Future Medicine

Saeid Safari,
Paria ShafiekhaniORCID*

|

Final Published

11
Jul
2022
Precis Med Clin OMICS
Review Article

Hippo Signaling Pathway and Cancer: Molecular Regulation and Therapeutic Targets

Fariba DehghanianORCID*,
Seyedeh Zahra Hosseini ImaniORCID,
Amirhosein Naghsh-NilchiORCID,
Sheyda KhalilianORCID

|

Final Published

27
Jun
2022
Precis Med Clin OMICS
Research Article

Molecular Genetic Analysis of Patients with Duchenne/Becker Muscular Dystrophy by Multiplex Ligation-Dependent Probe Amplification and Next-Generation Sequencing Techniques

Shahram Savad,
Fatemeh Fattah Beigi,
Laily Najafi,
Shermineh Heydari,
Maryam Eslami*,
Niusha Samadaeian

|

Final Published

Journal Metrics

Discover our most recent insights and updates.

Submit to First Decision (Days) :
11
Article Processing Charges :
Free

Keywords

Share it!

Author Services

Brieflands Author Services

Contact Us!