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
Medicine 최근에 발견된 새로운 해부학적 구조물 2016-03-222016-03-22 의대생 사이트에 “2005년판 중고 해부학책으로 공부해도 될까요?”라고 질문이 올라왔고, 그에 대한 대답으로 “곤란한데요.. 10년간 인류가 해부학적 진화를 거쳤을겁니다..”라는 재치있는 댓글이 달렸다. 재미있는 것은 진짜로 최근들어서도 조금씩 해부학적 구조물이 추가되고 있다는 점이다. 관련 뉴스를 접할 때마다 메모해놨던 것을 기념으로 한 번 정리해보고자 한다. Newly discovered anatomical structures of the human body… Share this:FacebookX Read More
Medicine Null method in Pharmacology 2018-03-262018-03-30 약물이 수용체에 결합해 반응을 일으킬 때, 반응의 세기는 약물 관련 요소 2가지, 시스템(해당 조직) 관련 요소 2가지에 의해 결정된다. Drug related factors: affinity, efficacy – 약물이 수용체에 결합하는 친화성(에너지), 약물이 반응했을 때 수용체가 activation되는 효율(=약물의 효능) System related factors: number of receptors, efficiency of receptor coupling – 해당 세포 또는… Share this:FacebookX Read More
돌발진 or 열꽃 2013-03-212013-11-07 Exanthema subitnum, 돌발진 (갑작스런 발진이라는 뜻) Roseola infantum (영아의 장비 발진이라는 뜻) 흔히 열꽃이라고 부름 baby measles, three-day fever이라고도 부름 보통 만 6개월~2세에서 걸리고 huma herpesvirus-6, 7에 의해 나타난다. (이 두 바이러스를 묶어 roseolovirus라고도 부름) 39-40도의 갑작스런 고열로 시작되고 며칠만에 저절로 열이 떨어지면서 두드러기가 나타난다. 두드러기는 가렵지 않고 1-2일만에 저절로… Share this:FacebookX Read More