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American Impact Review is a peer-reviewed, open-access, multidisciplinary journal. Structured publishing with ISSN, DOI, and permanent archive placement.

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Issue 01 / Spring 2026
Professional
Impact
Edition

Original research and analytical reviews in technology, medicine, and engineering.

01
Applied Machine Learning in Clinical Diagnostics
Dr. S. Chen
02
Zero-Trust Architecture in Enterprise Networks
M. Rodriguez
03
Scalable Hydrogen Storage for Grid-Level Applications
K. Nakamura
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Current Issue
Issue 01: Professional Impact Edition
Vol. 1, No. 1 Spring 2026 6 Articles 108 Pages Open Access

Inaugural issue of the American Impact Review featuring peer-reviewed articles across artificial intelligence, cybersecurity, renewable energy, precision medicine, aerospace engineering, and organizational behavior.

01

Applied Machine Learning in Clinical Diagnostics

Transformer-based models for early detection of pulmonary conditions.

Dr. Sarah Chen - Stanford University
pp. 1-18 02

Zero-Trust Architecture in Enterprise Networks

Implementation frameworks across Fortune 500 companies.

Miguel Rodriguez - MIT Lincoln Laboratory
pp. 19-34 03

Scalable Hydrogen Storage for Grid-Level Applications

Metal-organic framework approaches to hydrogen storage.

Kenji Nakamura - University of Tokyo
pp. 35-52 04

Biomarker-Driven Approaches to Precision Oncology

Liquid biopsy technologies for real-time tumor monitoring.

Dr. Aisha Patel - Johns Hopkins Medicine
pp. 53-71 05

Additive Manufacturing in Aerospace Component Design

Ti-6Al-4V lattice structures via electron beam melting.

James Williams - Georgia Tech
pp. 72-89 06

Remote Work Productivity: A Longitudinal Study

Three-year data from 12,000 knowledge workers.

Laura Fernandez - Harvard Business School
pp. 90-108
6
Articles
108
Pages
6
Fields
100%
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