The light-sensitive layer found at the back of a person's eyes contains more than just cells that detect shadows and light — it also contains information about the health of a person's entire body. And now, artificial intelligence can glean this information from a single snapshot, new research suggests.
An estimated 300 million Chinese people are smokers. China has also a serious issue with hazardous air pollution. Here concentrations of small, breathable particles (PM2.5) invariably exceeding 300 micrograms per cubic meter in the industrialized northern regions.
Experts generally agree that, before we might consider artificial intelligence (AI) to be truly intelligent —that is, on a level on par with human cognition— AI agents have to pass a number of tests. And while this is still a work in progress, AIs have been busy passing other kinds of tests.
We’re no stranger to robotics in the medical field. Robot-assisted surgery is becoming more and more common. Many training programs are starting to include robotic and virtual reality scenarios to provide hands-on training for students without putting patients at risk.
Machine learning technologies have already made huge strides in supporting the efforts of pharmaceutical companies in developing personalized medicines and novel biomarkers. This has been found to be helpful, notably for understanding the efficacy of prophylactic vaccines used for combating infectious diseases.
Clinical development has historically been a laborious and expensive process that stretches across all therapeutic areas. It is driven by lengthy patient recruitment timelines, increasingly complex study designs, and high procedural costs. Depending on whose data you believe, getting a new drug to market can now cost upwards of $1 billion and take more than 10 years or research and development effort. Additionally, a complex and dynamic regulatory framework has made sponsors reluctant to introduce new technologies to facilitate the development process.
The quest to better detect cancer has made a potentially huge strides. A study out of Yokohama, Japan, has potentially harnessed artificial intelligence to help detect colorectal cancer even before benign tumors become malignant.
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