Skip to content Skip to sidebar Skip to footer

Medicine

Researchers from NYU have developed a revolutionary AI system for speech synthesis.

Researchers from New York University have made significant advances in neural speech decoding, potentially helping individuals who have lost their ability to speak to regain their voice. The study, published in 'Nature Machine Intelligence', presents a deep learning framework that accurately translates brain signals into intelligible speech. This could potentially be used by individuals who…

Read More

In case an antibiotic is unsuccessful: AI is being utilized by MIT researchers to focus on dormant bacteria.

Since the 1970s, finding new antibiotics has been challenging. The World Health Organization now considers the antimicrobial resistance crisis as one of the top 10 global public health threats. Bacteria can become resistant to antibiotics, especially when an infection is treated repeatedly. Some bacteria become metabolically inert, avoiding detection by antibiotics that only respond to…

Read More

The NHS cancer detection instrument, known as “Mia”, has succeeded in recognizing cancers that physicians have overlooked.

Mia, an Artificial Intelligence (AI) tool, demonstrates its potential by identifying undetected cancerous indications in mammograms. It is known that early detection is crucial in treating all types of cancer, especially those with a high spread rate. Mia has the ability to identify tiny tumors that are often unnoticeable to the human eye but can…

Read More

Scientists utilize Artificial Intelligence to investigate the impact of genetics on heart structure.

A global team of researchers led by the University of Manchester used Artificial Intelligence (AI) to investigate the role genetics play in forming the structure of the heart's left ventricle. They utilized unsupervised deep learning to examine over 50,000 three-dimensional MRI images from the UK Biobank. The goal was to establish a better understanding of…

Read More

Researchers from Mayo Clinic have created an AI system driven by hypothesis, specifically for cancer studies.

In a bid to advance the role of artificial intelligence (AI) in medical and healthcare research, researchers from Mayo Clinic have developed an innovative AI technology, "hypothesis-driven AI". This diverges from conventional data-driven AI models that primarily excel at identifying patterns within large volumes of data but often struggle to incorporate existing scientific knowledge or…

Read More

Scientists have developed a set of optional safety guidelines for the designing of proteins in Artificial Intelligence.

A group of renowned scientists has launched a voluntary initiative to establish a set of ethical standards, principles, and commitments for AI in protein design. The proposal addresses the potential misuse of AI tools capable of creating new proteins rapidly and effectively. AI could provide solutions to significant global problems, such as pandemics and sustainable…

Read More

AI-based risk prediction provides fresh optimism for timely intervention in pancreatic cancer.

MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) scientists, in collaboration with Limor Appelbaum, a scientist in the Department of Radiation Oncology at Beth Israel Deaconess Medical Center (BIDMC), have developed two machine-learning models for the early detection of pancreatic cancer. The two models PRISM and the logistic regression model both surpassed current diagnostic methods.…

Read More

How to handle AI in healthcare?

The MIT Abdul Latif Jameel Clinic for Machine Learning in Health (Jameel Clinic) held an AI and Health Regulatory Policy Conference on December 4, sparking debates among faculty, regulators from the US, EU, and Nigeria, and industry experts about the regulation of AI in health. The conference centered around the question of whether the "black…

Read More

It is more challenging for physicians to identify diseases when examining images of darker skin tones.

AI technology could help improve doctors' accuracy when diagnosing skin diseases in individuals with darker skin, scientists from the Massachusetts Institute of Technology have found. The study involved over 1,000 dermatologists and general practitioners, with dermatologists correctly identifying roughly 38% of skin conditions seen in images, but this figure dropped to 34% where patients had…

Read More

The new system pinpoints medications that should not be concurrently consumed.

Researchers at MIT, Brigham and Women’s Hospital, and Duke University have developed a method for identifying the protein transporters different drugs use to traverse the digestive tract. This could help to avoid dangerous drug interactions and enhance patient treatment as two medications that use the same transporter may interact negatively if prescribed together. The method…

Read More

Training in neurosurgery from a virtual character.

Dr. Benjamin Warf, a renowned neurosurgeon from Boston Children's Hospital, has been virtually present in Brazil, aiding and mentoring residents as they perform delicate surgery on a model of a baby's brain. This has been made possible through a digital avatar of Dr. Warf, developed by the medical simulator and augmented reality (AR) company, EDUCSIM,…

Read More