Artificial Intelligence Needs Doctors As Much As They Need It

Artificial Intelligence Needs Doctors As Much As They Need It

In this futuristic medical concept, a doctor assesses a patient with robust machine assistance.

(© Elnur/Fotolia)


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Steven Haley
Steven Haley is a tech industry veteran and prolific angel investor. He is highly engaged at the leading edge of innovations through his company affiliations and in multiple capacities, which include advisor, operational roles, committee, and board member. He began his technology career working Numerically Controlled Systems (NC Machines), macro-assembler coding, applications hosted on mainframes and minicomputers, and broadband networking. Present-day initiatives relate to commercialization of software platforms. He has been involved in the healthcare sector for two decades serving on academic hospital boards, technology initiatives, and a medical investment advisory committee for a healthcare VC. He is also involved in numerous medical philanthropic activities, including establishing The BrainScience Foundation. His interest lie in adaptive learning software platforms, analytics, and the applications they support in healthcare, STEM education and enterprises.
Genes shape our response to Covid virus

Important findings are starting to emerge from research on how genes shape the human response to the Covid virus.

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From infections with no symptoms to why men are more likely to be hospitalized in the ICU and die of COVID-19, new research shows that your genes play a significant role

Early in the pandemic, genetic research focused on the virus because it was readily available. Plus, the virus contains only 30,000 bases in a dozen functional genes, so it's relatively easy and affordable to sequence. Additionally, the rapid mutation of the virus and its ability to escape antibody control fueled waves of different variants and provided a reason to follow viral genetics.

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Bob Roehr
Bob Roehr is a biomedical journalist based in Washington, DC. Over the last twenty-five years he has written extensively for The BMJ, Scientific American, PNAS, Proto, and myriad other publications. He is primarily interested in HIV, infectious disease, immunology, and how growing knowledge of the microbiome is changing our understanding of health and disease. He is working on a book about the ways the body can at least partially control HIV and how that has influenced (or not) the search for a treatment and cure.
New device finds breast cancer like earthquake detection

Jessica Fitzjohn, a postdoctoral fellow at the University of Canterbury, demonstrates the novel breast cancer screening device.

University of Canterbury.

Mammograms are necessary breast cancer checks for women as they reach the recommended screening age between 40 and 50 years. Yet, many find the procedure uncomfortable. “I have large breasts, and to be able to image the full breast, the radiographer had to manipulate my breast within the machine, which took time and was quite uncomfortable,” recalls Angela, who preferred not to disclose her last name.

Breast cancer is the most widespread cancer in the world, affecting 2.3 million women in 2020. Screening exams such as mammograms can help find breast cancer early, leading to timely diagnosis and treatment. If this type of cancer is detected before the disease has spread, the 5-year survival rate is 99 percent. But some women forgo mammograms due to concerns about radiation or painful compression of breasts. Other issues, such as low income and a lack of access to healthcare, can also serve as barriers, especially for underserved populations.

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Rina Diane Caballar
Rina Diane Caballar is a former software engineer turned freelance writer based in New Zealand. She covers tech and its intersections with science, society, and the environment. You can find her on https://rinacaballar.com/