Medicine and health

Translational Medicine and Digital Health

Evidence that moves biomedical and digital innovation toward care.

ISSN pending Monthly (12 issues per year) Open access

Editorial intake: preparing

About

An open-access journal for translational medicine, clinical evidence, digital health and data-enabled care.

Aims & scope

The journal publishes clinical and translational studies, systematic reviews, validation research, digital health evaluations, biomedical informatics, implementation research and methodological work. Reports involving patients or health data must clearly describe ethics oversight, study design, uncertainty and clinical relevance.

Publication statement

Translational Medicine and Digital Health is an online, open-access scholarly serial published by ISCSR Scholarly Group.

Publisher: ISCSR Scholarly Group
Business form: Individual self-publisher
Publisher address: 4044 Quilly Lane, Columbus, OH 43215, United States
Place of publication: Columbus, Ohio, United States
Phone: +1 614-660-9142
Email: call@mail.ustc.edu.cn
Publication frequency: Monthly (12 issues per year)
Online ISSN: Pending assignment

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Editorial intake

The editorial office is preparing the first call for papers. Publication will use continuous article numbering.

Current issue

No complete issue has been formally published yet.

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Published record

Articles

3 published · View all articles →

Review Article September 23, 2026 Vol. 1, Issue 1 tmdh20260003

Safety Judges Are Part of the Clinical System

Kevin Hall, Brian Allen, George Young

Reliable deployment in automated screening of medical-agent outputs depends on more than obtaining a strong benchmark result. This conceptual analysis uses evaluator robustness to study how claims travel from data to model output and then t...

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Review Article September 23, 2026 Vol. 1, Issue 1 tmdh20260002

Quantized Clinical Models Under Distribution Shift

Matthew Jackson, Anthony Martin, Mark Thompson

Reliable deployment in edge deployment in clinics with heterogeneous hardware depends on more than obtaining a strong benchmark result. This conceptual analysis uses resource-aware robustness to study how claims travel from data to model ou...

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Review Article September 23, 2026 Vol. 1, Issue 1 tmdh20260001

Evidence Gates for Adversarially Exposed Clinical Assistants

Michael Brown, William Jones, David Miller

Reliable deployment in retrieval-augmented clinical assistance depends on more than obtaining a strong benchmark result. This conceptual analysis uses evidence-constrained decision gates to study how claims travel from data to model output...

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