Generative AI in medical research mahler83, 2022-11-242022-12-22 What is generative AI? In simple terms, generative AI is a subfield of AI that deals with the generation of new, never before seen data samples. This can be anything from new images, to new audio samples, to new text. What are some potential applications of generative AI in medical research? Some potential applications of generative AI in medical research include the generation of new medical images (for example, X-rays or MRI scans), the generation of new pharmaceutical compounds, and the generation of new DNA sequences. What are some benefits of using generative AI in medical research? Some benefits of using generative AI in medical research include the ability to develop new treatments and cures for diseases, the ability to test new drugs and treatments in silico (i.e. on computer models), and the ability to generate large amounts of data for machine learning algorithms to learn from. What are some challenges of using generative AI in medical research? Some challenges of using generative AI in medical research include the potential for generating inaccurate or biased data, the need for large amounts of computing power, and the potential for misuse (e.g. generating fake data to sell to pharmaceutical companies). What are some ethical concerns of using generative AI in medical research? Some ethical concerns of using generative AI in medical research include the potential for abuse (e.g. creating fake data to sell to pharmaceutical companies), the potential for data generated by AI to be biased or inaccurate, and the potential for AI to be used to create life-saving treatments and cures before they have been fully tested and proven safe. What are some legal concerns of using generative AI in medical research? Some legal concerns of using generative AI in medical research include the potential for patents on AI-generated data, the potential for someone to claim ownership of AI-generated data, and the potential for AI-generated data to be used without the consent of the people involved. What are some societal concerns of using generative AI in medical research? Some societal concerns of using generative AI in medical research include the potential for AI to create new inequalities in access to medical care, the potential for AI to create new “designer diseases” that only affect certain groups of people, and the potential for AI to be used to create life-saving treatments and cures before they have been fully tested and proven safe. Disclaimer This article was automatically generated using lex.page Share this:FacebookX Generative AI Medicine
Medical Education 이뇨제 수업 후기 2017-03-142017-03-14 신장요로계 과정의 이뇨제 강의를 맡아 1시간짜리 수업을 했다. 자체 피드백 지루하다. 내가 생각해도 너무 지루한 수업이다. 여기선 이 transporter를 억제해서 이렇게 되고, 저기선 이 호르몬을 길항해서 이렇게 되고 주절주절… 그런데 내용 자체가 그런거니까 방법이 딱히 없지 않나 싶기도 하고 ADH inhibitor 내용을 추가해야겠다. SIADH 관련 내용인 것 같아 빼놨는데 수업… Share this:FacebookX Read More
AI 음성을 들었을 때 뇌파와 GAN모델의 합성곱층 활성이 유사함 2023.4 2023-04-212023-07-19 음성을 사람이 들었을 때의 뇌파와 WaveGAN 인공지능 모델에 입력했을 때 convolutional layer의 activation 신호가 특별한 transformation 없이 높은 유사도를 보인다는 논문 (2023 4/10) 원문: https://www.nature.com/articles/s41598-023-33384-9 이런 실험이 가지는 두 가지 의미 1) ANN이 내부적으로 representation을 어떻게 인코딩하는지 인간의 뇌와 비교해서 더 잘 이해할 수 있음 2) 인간의 뇌와 유사한 점이… Share this:FacebookX Read More
프로작이 엔테로바이러스 치료 효과 가능성 2012-08-012013-11-07 http://www.ncbi.nlm.nih.gov/pubmed/22751539 수족구병이나 뇌수막염을 일으키는 Enterovirus 중 Coxsackievirus B에 대해 SSRI의 대표격인 Fluoxetine이 antiviral activity를 가진다는 내용. Enterovirus에 대한 효과적인 antiviral agent가 없는 상황에서 의미 있는 발견이다. 여담으로 이번에 아들이 뇌수막염 걸려서 알아보면서 들은 이야기인데 올해 SNU에 오는 소아 meningitis 환자들 중에 Entero인 경우가 많다고 한다. Share this:FacebookX Read More