Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.

Such targeted care is referred to as precision medicine--drugs or treatments designed for small groups, rather than large populations, based on characteristics such as medical history, genetic makeup, and data recorded by wearable devices. In 2003, the completion of the Human Genome Project was attended by fanatic promises about the imminence of these treatments, but results have so far underwhelmed. Today, new technologies are revitalizing the promise. Precision medicine: drugs or treatments designed for small groups, rather than large populations. At organizations ranging from large corporations to university-led and government-funded research collectives, doctors are using artificial intelligence (AI) to develop precision treatments for complex diseases. Their central aim is to glean from increasingly massive and available data sets insight into what makes patients healthy at the individual level.

Such targeted care is referred to as precision medicine--drugs or treatments designed for small groups, rather than large populations, based on characteristics such as medical history, genetic makeup, and data recorded by wearable devices. In 2003, the completion of the Human Genome Project was attended by fanatic promises about the imminence of these treatments, but results have so far underwhelmed. Today, new technologies are revitalizing the promise. Precision medicine: drugs or treatments designed for small groups, rather than large populations. At organizations ranging from large corporations to university-led and government-funded research collectives, doctors are using artificial intelligence (AI) to develop precision treatments for complex diseases. Their central aim is to glean from increasingly massive and available data sets insight into what makes patients healthy at the individual level.

"Our work was meant as a demonstration project to show how disease registries could be leveraged to yield the same sorts of insights about personalizing the longitudinal sequence of treatments as one might get from a prospective, multistage randomized trial," Krakow said in emailed comments about the work, which was based on the transplant complication known as graft-vs.-host When a cancer patient has a complex medical history, a little-studied disease and many potential treatment options, published guidelines and studies rarely indicate one clear treatment choice. So in everyday clinical practice, physicians recommend treatments to their patients based on an amalgam of published and anecdotal evidence, and patient-specific characteristics and preferences. Then, they adjust treatment as needed as time goes on. In what Krakow calls "algorithm-informed treatment," a computer would generate a treatment recommendation for a specific time point in an individual patient's therapeutic course.

In the natural world, many species can walk over slopes and irregular surfaces, reaching places inaccessible even to the most advanced rover robots. It remains a mystery how complex movements are handled so seamlessly by even the tiniest creatures. What we do know is that even the simplest brains contain pattern-generator circuits (CPGs)[1], which are wired up specifically for generating walking patterns. Attempts to replicate such circuits artificially have so far had limited success, due poor flexibility. Now, researchers in Japan and Italy propose a new approach to walking pattern generation, based on a hierarchical network of electronic oscillators arranged over two levels, which they have demonstrated using an ant-like hexapod robot.