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Reliable Biomedical Applications Using AI Models
Published in Punit Gupta, Dinesh Kumar Saini, Rohit Verma, Healthcare Solutions Using Machine Learning and Informatics, 2023
Shambhavi Mishra, Tanveer Ahmed, Vipul Mishra
Biomedicine is a diverse field that has applications in various domains. Technological advances in the medical and biological arenas have resulted in a massive amount of physiological and biological data, including protein sequences, genomics, electroencephalography, and medical images. The availability of increasingly large amounts of data has created a lot of opportunities for automated computer-aided diagnosis. However, as expected, it has also created a lot of challenging issues. A vast volume of unstructured data is available in an unorganized format. Storing, analyzing, and understanding this deluge of biological data requires effective and efficient computing methods [1], [2]. The examination and interpretation of the biomedical data also require skilled technicians and well-equipped laboratories. Further, manual examination of the data is time-consuming, tedious, and error prone. It has also been found that manual diagnosis and examination suffer from inter- and intra-observation variability among practitioners [3], [4]. Diagnostic, surgical, rehabilitative, clinical and predictive practices, decision making, and disease diagnosis are some of the key areas where automated technologies can help with early identification and treatment.
Sparking and Sustaining the Essential Functions of Research: What Promotes Discovery?
Published in Thomas S. Inui, Richard M. Frankel, Enhancing the Professional Culture of Academic Health Science Centers, 2022
Mengfeng Li, Guoquan Gao, Minhao Wu, Hongmei Tan, Wenjun Xin, Xia Yang, Yi Yang, Kaihua Guo, Qiongzhu Chen
China continues to experience revolutionary changes in many aspects. One such change dynamic is the rapid development and further opening up of Chinese society and its economy, a process that is bringing dramatic changes to how resources are distributed and managed in academic institutions and health science centers. Against a background of rapid advances in biomedicine there are increasing demands for better health among China’s citizens. If they are to succeed in responding to this demand in a timely way, China’s medical schools will need to upgrade everything that is critical to their scientific programs, including organizational structure, researcher assessment, and management skills.
Medical Ethics
Published in Howard Winet, Ethics for Bioengineering Scientists, 2021
Full integration of science into medicine is indicated by the term “biomedicine”. Edward Jenner is considered the “father” of this field. The “biomedicalization” process was not a dominant trend until after WWII (Löwy 2011). Between the mid-19th century and 1950s; clinicians for the most part utilized the fruits of scientific research without comprehending how they worked. There were physician scientists like Cannon (1871–1945) who could “connect-the-dots”. But these were academicians and, consequently, small in number. Biomedicine has become an academic, clinical and industrial giant since then, generating a large fraction of research and GNP in the United States.
HIV Stress Exchange: Queer Men, Intergenerational Stress, and Intimacy Amidst the Time of HIV
Published in Journal of Homosexuality, 2023
This investment in biomedicine has had various effects. Some argue that there remains too much attention to the interpersonal sexual relations of queer men (Slavin, 2009); others point to an “end of AIDS” (Román, 2000) or “post-AIDS” (Huebenthal, 2017) discourse, after antiretroviral therapies—promoting HIV as a “chronic” condition. These ideologies have facilitated a disinterest in AIDS (e.g., redirecting funds, shuttering AIDS Service Organizations), provided more traction for anti-gay/queer biases, reignited a focus on personal responsibility at the expense of structural forces, promoted an increasing draw on registers of silence (e.g., undetectable) that invisibilize HIV and those in its wake, and facilitated a white washing of HIV, exploiting the inequities for Black, Indigenous, and People of Color (Wilson, Flicker, Restoule, & Furman, 2016).
A commentary on the practice of integrated medical curriculum in the interdisciplinary field of medical engineering
Published in Annals of Medicine, 2022
Peng Zhang, Liang Ji, Guomin Zhou, Xuan Yao
As mentioned above, the integrated medical curriculum is a set of learning systems for medical students that conform to the development direction of integrated medicine. It has drawn increasing attention and has been widely promoted [4,5]. However, it is primarily implemented in undergraduate medical education and rarely mentioned in graduate medical and industrial cross-specialty education. As it is known, graduate education aims to develop high-end teaching and research abilities. With limited medical education background and schooling time (generally 3 years), the implementation of the integrated medical curriculum at SUSM enables graduate students to acquire the necessary basic and clinical medicine knowledge, and creates favourable conditions for conducting intelligent medical research. The combination of biomedicine and artificial intelligence requires a horizontal integrated medical curriculum, whereas the complexity and reserve demand of medical knowledge require a vertical integrated medical curriculum. Therefore, we conducted the teaching reform of the integrated medical curriculum in medical and industrial cross-specialties for graduate students at SUSM.
Ethical Principles in the Analysis of Prostate Cancer Diagnostics
Published in Cancer Investigation, 2022
Mette Ebbesen, Karina Dalsgaard Sørensen, Bodil Ginnerup Pedersen, Svend Andersen
In the field of biomedicine, there are various approaches to ethical analysis. These include utilitarianism, deontology (based on duties), and virtue- and principle-based theories. In biomedical ethics, the ethical theory is often deductively applied to particular cases for ethical assessment (top-down models). However, biomedical cases are often complex, and cultural anticipations, estimated outcomes, etc. must be taken into account. This complexity is not reducible to a direct process of deduction from abstract and general ethical theory, cf. pp. 426–432 in Beauchamp and Childress (1). Here, we present an alternative, in which an open and reflective three-step analysis method developed by Ebbesen et al. (2,3) is used to identify ethically important features (i.e., features that raise ethical concerns) and ethical principles essential for prostate cancer diagnostics, and then argue which ethical theory justifies these ethical principles.