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Health AI Frontier is a peer-reviewed, open-access journal dedicated to advancing the application of artificial intelligence, machine learning, and data-driven technologies across all domains of health and medicine.

The journal serves as a global platform for publishing high-quality research, clinical insights, and technological innovations that leverage AI to improve health outcomes, clinical decision-making, and healthcare delivery systems.

Health AI Frontier welcomes multidisciplinary contributions that connect computational intelligence with clinical practice — from deep learning diagnostics and predictive analytics to natural language processing in clinical records, AI-driven drug discovery, and ethical frameworks for responsible AI deployment in healthcare.

Our mission is to empower researchers, clinicians, data scientists, and healthcare innovators to translate AI knowledge into practice, shaping the future of precision medicine through transparent, rapid, and ethical dissemination of scientific evidence.

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Open Access

AI Prediction of the Physicochemical Structural Profile Required for Antitumor Drugs to Cross the Blood Brain Barrier

Jean-Louis KRAUS*

Abstract Effectiveness of chemotherapy treatment for brain-related disorders is primarily limited by the difficulty these drugs have, in crossing the Blood-Brain Barrier (BBB). With the help of artificial intelligence, it is possible to predict the ability of a molecule or drug to cross the BBB, in silico. By initially predicting

DOI
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  • Original Research Article
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Breast Cancer Diagnosis with Analog Artificial Neural Network: A Survey of Architectures, Implementations, and Challenges

Koagne Longpa T. Silas, Djimeli-Tsajio Alain B, Fotsing Talla Bernard, Lienou T. Jean- Pierre and Geh Wilson Ejuh

Abstract The primary driver of female death remains breast cancer, highlighting the need for effective screening and accessible diagnostic tools. Digital hardware approaches have demonstrated strong performance but are constrained by high computational and energy demands, limiting their use in real-time portable devices. Analog Artificial Neural Networks (AANNs) offer advantages

DOI
Abstract
  • Original Research Article
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We invite researchers, scholars, and practitioners to submit original and high-quality manuscripts for publication.

We welcome interdisciplinary and discipline-specific research that contributes new theoretical insights, empirical findings, or practical applications within the respective journal’s scope.

Submit your manuscript or inquiries to: submission@zenithpublications.org

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We pleased to invite qualified scholars and experienced researchers to apply for membership on its Editorial Board.

Editorial Board members play a vital role in maintaining the journal’s academic quality, ethical standards, and scholarly impact.

To apply, please send your CV and a brief statement of interest to: contact@zenithpublications.org

Announcements

Happy to Announce Our Editorial Team

Dr. Attaleb Mohammed, PhD

  • Morocco

Dr. Nimra Khan

  • UK

Dr. Chengxin Luan

  • China

Dr. Tian Ruan, MD

  • China

Dr. Caroline Rodrigues Thomes

  • Brazil

Dr. Fausto D’Agostino, PhD

  • Italy

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