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The dissemination of knowledge through scientific articles is undoubtedly essential in the field of science, yet the costs linked with publication fees in reputable journals may hinder less privileged groups. These disparities pose a widespread global challenge that affects science as well. Acknowledging this issue, organizations like the Bill & Melinda Gates Foundation and the
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This communication presents the long-term vision of AI-optimized cancer therapy based on automated adaptive dosing. The idea is to have an AI-controlled therapeutic system that administers microdoses from information obtained from low-power sensors, which could improve patient quality and survival. While this idea has not been implemented for cancer yet, there are similar health interventions
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“High Hopes for ‘Deep Medicine’? AI, Economics, and the Future of Care” by Sparrow and Hatherley critically examines the potential impact of AI on healthcare. The essay questions the optimistic view that AI will enhance the doctor-patient relationship, and identifies economic and institutional factors that may hinder its realisation. Concerns are raised about the erosion
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The editorial in Nature titled “PhD Training is No Longer Fit for Purpose – It Needs Reform Now” highlights the urgent need for reform in doctoral training, which is failing to meet the expectations of world leaders who consider science crucial for national welfare. Doctoral training has long been troubled, with concerns about inadequate student
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This is a critical review of the article “How to regulate evolving AI health algorithms” by David W. Bates. The article discusses the challenges of regulating healthcare information technology, specifically AI algorithms, due to their continuously evolving nature. The author argues for updated regulatory approaches that allow for continuous learning and adaptation of these algorithms
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The number of computer- and data-based tools is rapidly increasing in the field of oncology. Corresponding methods are finding their way into almost all areas of application, from diagnostic systems and tumour modelling to prognosis of disease progression. However, the sheer combinatorial complexity of this disease, resulting from more potential combinations of cancerous mutations than
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This is a speech addressed to the public of the BioThera Roland Mertelsmann Foundation’s meeting on November 5th 2021, Freiburg, with the motto Artificial Intelligence and Translational Oncology: Cancer Treatment 5.0? where I explain and defend the importance of a Philosophy Research Program on artificial intelligence and machine learning in oncology. The speech has been
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The biomedical sciences need philosophy on at least two levels. Firstly, we can find strong arguments that recognize the need for philosophy on a theoretical level, such as the development of scientific theories that in turn can have effects such as the development of new treatments or other medical interventions. However, philosophy, and particularly bioethics,
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The ideal exercise of Castellanos et al. asks IRB members to accept or deny a researchers’ request for disclosing genes associated with breast-ovarian cancer, a potential clinically significant finding (CSF), to a subgroup of 1500 research participants of a research database of 300,000 subjects. Here, we defend that researchers are under a rational duty to
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In this study, the importance of new information generated after the initial diagnostic genome analysis was performed is strikingly demonstrated by the fact that new information was of relevance in 10% of the patients in this analysis. While this study focusses on clinical exome analysis, the implications go far beyond this study and potentially apply
