Photonics and AI in Computational Oncology: Accelerating the Design of Next-Generation Cancer Therapies

This dataset and accompanying publication present the 21st scientific article by BarackEinstein97, introducing the oncological extension of the Photonically-Assisted AI Drug Design Pipeline (PAI-DDP). The framework integrates photonics and artificial intelligence to enable real-time, adaptive, and personalized drug design targeting oncogenic receptors such as EGFR and KRAS.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-13
DOI
https://doi.org/10.5281/zenodo.17341570
Primary Topic
Toxin Mechanisms and Immunotoxins
Type
article
Field-Weighted Citation Impact
0.00
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article

Photonics and AI in Computational Oncology: Accelerating the Design of Next-Generation Cancer Therapies

Zenodo (CERN European Organization for Nuclear Research)
Toxin Mechanisms and Immunotoxins
article

Photonics and AI in Computational Oncology: Accelerating the Design of Next-Generation Cancer Therapies

article en

Abstract

This dataset and accompanying publication present the 21st scientific article by BarackEinstein97, introducing the oncological extension of the Photonically-Assisted AI Drug Design Pipeline (PAI-DDP). The framework integrates photonics and artificial intelligence to enable real-time, adaptive, and personalized drug design targeting oncogenic receptors such as EGFR and KRAS.

Zenodo (CERN European Organization for Nuclear Research)
IndependenceFirst (US)
Good health and well-being
Openalex Percentile: Top 42%
Toxin Mechanisms and Immunotoxins
DOIOpen Access PDFOpenAlex
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Photonics and AI in Computational Oncology: Accelerating the Design of Next-Generation Cancer Therapies · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS