Journal of Clinical and Advanced Medicine (JCAM) is an international, peer-reviewed, open-access journal dedicated to publishing high-quality scholarly work that advances clinical practice, improves healthcare outcomes, and supports innovation in modern medicine. The journal serves as a global platform for clinicians, researchers, and healthcare professionals to disseminate scientifically sound and clinically relevant research.

Journal Details:

Title: Journal of Clinical and Advanced Medicine (JCAM)

Frequency: Continuous Publication (Compiled into 2 Issues per Year)

Format Online (E-ISSN Pending)

Starting Year: 2025

Subject: Medical Sciences (Clinical and Translational Medicine)

Language: English

Publisher Name: NEO-ART EXCELLENCE HUB PRIVATE LIMITED

Publisher Address: Anakapalli, Visakhapatnam, Andhra Pradesh, India, 531002

Contact Email: neoartexcellencehub@gmail.com

Overview & Publication Model:

JCAM follows a Continuous Publication model, whereby accepted manuscripts are published online immediately after completion of peer review, editorial processing, and final production. This approach ensures the rapid dissemination of research findings, enabling timely access to new knowledge. To maintain archival integrity, articles are curated into two semi-annual issues: Issue 1 (January–June) and Issue 2 (July–December).

Commitment to Integrity

JCAM maintains a strong commitment to ethical publishing standards, editorial independence, and rigorous Single-Blind Peer Review. We strictly adhere to the guidelines set forth by the Committee on Publication Ethics (COPE) and the ICMJE (International Committee of Medical Journal Editors). All submissions undergo a mandatory plagiarism screening via Turnitin/iThenticate/other plagiarism tools to ensure original and high-impact scholarship.

Aims & Scope

JCAM considers original and impactful contributions in areas including, but not limited to:

• Internal Medicine: Diagnostics, therapeutic strategies, and disease management.
• Oncology & Pediatrics: Cancer innovations and neonatal care studies.
• Surgery & Molecular Medicine: Surgical outcomes and biomarker research.
• AI in Clinical Care: Machine learning diagnostics and predictive analytics.