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Medical Ai And Contextual Bias, W. Nicholson Price Ii
Medical Ai And Contextual Bias, W. Nicholson Price Ii
Articles
Artificial intelligence will transform medicine. One particularly attractive possibility is the democratization of medical expertise. If black-box medical algorithms can be trained to match the performance of high-level human experts — to identify malignancies as well as trained radiologists, to diagnose diabetic retinopathy as well as board-certified ophthalmologists, or to recommend tumor-specific courses of treatment as well as top-ranked oncologists — then those algorithms could be deployed in medical settings where human experts are not available, and patients could benefit. But there is a problem with this vision. Privacy law, malpractice, insurance reimbursement, and FDA approval standards all encourage developers …
Scientific Trials--In The Laboratories, Not The Courts, Nicholas Bagley, Aaron E. Carroll, Pieter A. Cohen
Scientific Trials--In The Laboratories, Not The Courts, Nicholas Bagley, Aaron E. Carroll, Pieter A. Cohen
Articles
In 2015, one of us published a peer-reviewed study, together with colleagues at the University of California, San Francisco, replicating prior research from the US Food and Drug Administration (FDA) detecting a designer stimulant, β-methylphenylethylamine, in sports, weight loss, and “cognitive function” supplements sold in the United States. The confirmatory study prompted the FDA to take enforcement action against companies selling the stimulant as a dietary ingredient. One of the companies that received an FDA warning letter sued the study’s authors for $200 million in damages for libel, claiming, without supporting scientific evidence, that multiple statements in the article were …
Artificial Intelligence In Health Care: Applications And Legal Implications, W. Nicholson Price Ii
Artificial Intelligence In Health Care: Applications And Legal Implications, W. Nicholson Price Ii
Articles
Artificial intelligence (AI) is rapidly moving to change the healthcare system. Driven by the juxtaposition of big data and powerful machine learning techniques—terms I will explain momentarily—innovators have begun to develop tools to improve the process of clinical care, to advance medical research, and to improve efficiency. These tools rely on algorithms, programs created from healthcare data that can make predictions or recommendations. However, the algorithms themselves are often too complex for their reasoning to be understood or even stated explicitly. Such algorithms may be best described as “black-box.” This article briefly describes the concept of AI in medicine, including …
Manufacturing Barriers To Biologics Competition And Innovation, W. Nicholson Price Ii., Arti K. Rai
Manufacturing Barriers To Biologics Competition And Innovation, W. Nicholson Price Ii., Arti K. Rai
Articles
As finding breakthrough small-molecule drugs becomes more difficult, drug companies are increasingly turning to "large molecule" biologics. Although biologics represent many of the most promising new therapies for previously intractable diseases, they are extremely expensive. Moreover, the pathway for generic-type competition set up by Congress in 2010 is unlikely to yield significant cost savings. This Article provides a fresh diagnosis of and prescription for this major public policy problem. It argues that the key cause is pervasive trade secrecy in the complex area of biologics manufacturing. Under the current regime, this trade secrecy, combined with certain features of Food and …
Learning The Value Of Drugs - Is Rofecoxib A Regulatory Success Story?, Rebecca S. Eisenberg
Learning The Value Of Drugs - Is Rofecoxib A Regulatory Success Story?, Rebecca S. Eisenberg
Articles
Controversy over recent revelations concerning the adverse cardiovascular effects of selective cyclooxygenase- 2 (COX-2) inhibitors has generally been framed as a story of regulatory failure, in which the Food and Drug Administration (FDA) has failed in its mission to protect the public from unsafe products. But this simplistic understanding of the mission of the FDA seems to make failure all but inevitable, if the reliable observation of the risks and benefits of a drug requires rigorous long-term studies. Perhaps in an earlier era the goal of drug regulation was simply to protect the public from poisons. Today, drug regulation guides …