Turning anemones into coral, and the future of psychiatric drugs
Nov 2, 2023
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Guest Christie Wilcox discusses efforts to turn anemones into corals by manipulating their genes. Then, Steve Hyman explores challenges in developing drugs for brain diseases. Lastly, Thomas Fuchs delves into the potential of AI in healthcare including disease identification and treatment recommendations.
Scientists are trying to make anemones act like corals by inserting coral genes into them to study biomineralization processes.
The development of psychiatric drugs is lagging behind other medicines due to issues like a lack of diverse genome sequences, but researchers are working to overcome these obstacles.
Deep dives
AI in Healthcare: A Powerful Tool for Better Patient Care
AI and machine learning have the potential to greatly impact medical research and clinical care. In healthcare, AI is helpful because it can bridge the gap caused by a shortage of medical professionals, improve physician experience and reduce burnout, and enhance patient care by providing accurate and timely diagnoses. However, challenges exist, such as the limited availability and regulatory clearance of AI systems, the need for education and training for healthcare professionals, and the importance of responsible AI development and regulation. Despite these challenges, AI is crucial for advancing healthcare and improving patient outcomes.
The Role of AI in Pathology: Improving Accuracy and Reducing Errors
AI has a significant impact on pathology, a field that faces a shortage of pathologists and a rising number of cancer cases. AI systems in pathology can enhance accuracy and reduce errors, leading to improved patient care. These systems enable pathologists to focus more on patient interaction rather than data entry or administrative tasks. However, further research and development are required to ensure that AI systems in pathology are safe, effective, and rigorously evaluated to meet regulatory standards.
Regulating AI in Healthcare: Ensuring Safety and Efficacy
Regulating AI in healthcare is crucial to ensure patient safety and efficacy. Due to the complex nature of AI systems, regulatory scrutiny should match their complexity. Independent evaluation and rigorous evaluation strategies are needed to determine the effectiveness and reliability of AI systems. The FDA plays a vital role in evaluating and approving AI systems, requiring extensive documentation, studies, and testing. Ethical considerations and the moral obligation to advance AI responsibly should guide regulatory efforts to build safe, effective, and equitable AI systems in healthcare.
The Future of AI in Healthcare: Transforming Patient Care
AI in healthcare holds immense potential to transform patient care by reducing diagnostic errors and improving outcomes. By harnessing the power of AI, the medical field can address critical challenges and improve access to quality care. AI offers new possibilities in diagnostics, treatment recommendations, data analysis, and more. While there are challenges, such as the need for data privacy, education, and careful regulation, it is clear that AI will play a significant role in shaping the future of healthcare, ultimately leading to better patient care and outcomes.
Why scientists are trying to make anemones act like corals, and why it’s so hard to make pharmaceuticals for brain diseases
First up on this week’s show, coaxing anemones to make rocks. Newsletter Editor Christie Wilcox joins host Sarah Crespi to discuss the difficulties of raising coral in the lab and a research group that’s instead trying to pin down the process of biomineralization by inserting coral genes into easy-to-maintain anemones.
Next on the show, a look at why therapeutics for both neurodegenerative disease and psychiatric illness are lagging behind other kinds of medicines. Steve Hyman, director of the Stanley Center for Psychiatric Research at the Broad Institute, talks with Sarah about some of the stumbling blocks to developing drugs for the brain—including a lack of diverse genome sequences—and what researchers are doing to get things back on track.
Finally, in a sponsored segment from the Science/AAAS Custom Publishing Office, associate editor Jackie Oberst discusses with Thomas Fuchs, dean of artificial intelligence (AI) and human health and professor of computational pathology and computer science at the Icahn School of Medicine at Mount Sinai, the potential and evolving role of AI in health care. This segment is sponsored by the Icahn School of Medicine at Mount Sinai.
This week’s episode was produced with help from Podigy.