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Spotlight on AI and Healthcare: From Imaging to Immunity
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Spotlight on AI and Healthcare: From Imaging to Immunity

Rohita Biswas, Cinthya Souza Simas, Sara Tóth Martínez, María Belén Moyano, Gerhard Steinmann, Roland Mertelsmann Journal of Science, Humanities and Arts (JOSHA), University of Buenos Aires, International Academy of Sciences, Humanities, and Arts (IASHA e.V.), Uniklinik Freiburg, Med 1

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Abstract

This edition of the Spotlights brings together six curated reads mapping how computation and policy are reshaping medicine: from the pixel to the population. MetaSeg shows how meta-learned implicit neural representations can segment 2D/3D MRI with U-Net–level accuracy using ~90% fewer parameters, pointing to lighter models for routine 3D analysis. In parallel, AI protein-design pipelines promise rapid iteration, generating biomolecules with potential antimicrobial and anticancer applications while lowering barriers through tool sharing. At the immune interface, mRNA-encoded nanoparticle vaccination activates and matures HIV broadly neutralizing antibody precursors in humans, advancing germline-targeting vaccine strategy. Beyond the bench, the collection also probes the systems that determine whether innovation reaches patients—how corporatization reshapes care, how funding shocks can stall research momentum, and why prevention may hinge on clonal competition and inflammation control.

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Article Information

Title

Spotlight on AI and Healthcare: From Imaging to Immunity

Type

Article

Published in
Journal 11. March 2026
Language
English
Journal
Vol 13 Issue 2
Categories

News and Views

Affiliations
1 Journal of Science, Humanities and Arts (JOSHA) 2 University of Buenos Aires 3 International Academy of Sciences, Humanities, and Arts (IASHA e.V.) 4 Uniklinik Freiburg, Med 1

This article is open access and distributed under the terms of the Creative Commons Attribution 4.0 International License.

Cite this work

Rohita Biswas et al. (2026). "Spotlight on AI and Healthcare: From Imaging to Immunity". JOSHA Journal. DOI: 10.17160/josha.13.2.1131.