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Michael J. Fox reveals struggle with memorizing skills due to Parkinson's disease

FOX News

Michael J. Fox recently revealed that his memory skills have been "shot" lately due to his Parkinson's disease diagnosis. The "Family Ties" star managed to have a robust acting schedule following his diagnosis with the degenerative disorder in 1991. However, in recent roles, he's struggled. Without memory, the actor isn't able to deliver lines with conviction. "My short-term memory is shot," Fox, 59, said in an interview with People magazine.

Microsoft partners with Team Gleason to build a computer vision dataset for ALS


Microsoft and Team Gleason, the nonprofit organization founded by NFL player Steve Gleason, today launched Project Insight to create an open dataset of facial imagery of people with amyotrophic lateral sclerosis (ALS). The organizations hope to foster innovation in computer vision and broaden the potential for connectivity and communication for people with accessibility challenges. Microsoft and Team Gleason assert that existing machine learning datasets don't represent the diversity of people with ALS, a condition that affects as many as 30,000 people in the U.S. Project Insight will investigate how to use data and AI with the front-facing camera already present in many assistive devices to predict where a person is looking on a screen. Team Gleason will work with Microsoft's Health Next Enable team to gather images of people with ALS looking at their computer so it can train AI models more inclusively. Participants will be given a brief medical history questionnaire and be prompted through an app to submit images of themselves using their computer.

Review: 'Peter: The Human Cyborg'


I rarely come away from a film or TV show without a single complaint, but that's exactly what happened after watching Peter: The Human Cyborg this weekend. If I had to name two minor quibbles about this new Channel 4 documentary, they'd be: Then again, neither was the short few years Dr. Peter Scott-Morgan had to prepare for rapidly advancing Motor Neurone Disease (MND) to lock his sharp mind into a dysfunctional body. But against all odds, the roboticist pulled it off at the eleventh hour, adapting himself and merging with cutting-edge technology, including Artificial Intelligence, before losing the power to breathe, eat, speak and express himself. "I will continue to evolve," he says with enthusiasm," dying as a human, living as a cyborg." MND, known less commonly as Amyotrophic Lateral Sclerosis (ALS), is the progressive killer that eventually took Stephen Hawking in 2018, but an undaunted Peter was determined to take on his disease in a different way to the renowned physicist.

Machine learning detects early signs of osteoarthritis


Osteoarthritis is the most common type of arthritis. Cartilage can sometimes wear down so much that the bones start to rub together. People with osteoarthritis can have joint pain, stiffness, or swelling. Some develop serious pain and disability from the disease. Doctors use a combination of medical history and lab or imaging tests to diagnose the condition.

Machine Learning to Predict Parkinson's Disease


As the Mayo Clinic writes, diagnosing Parkinson's is no simple task². There's no specific diagnostic test, and a trained neurologist needs to review a patient's medical history, symptoms, and conduct a neurological and physical examination, using techniques like dopamine transporter scans, as well as blood tests and imaging tests to help rule out other disorders. The difficulty in making a diagnosis is amplified in developing countries, which have fewer medical resources. As with many other disorders, undiagnosed and untreated cases of Parkinson's have likely increased during this pandemic. Parkinson's may even emerge as a third wave of the pandemic³.

Deep Learning to Diagnose Dystonia in Milliseconds


Mass Eye and Ear researchers have discovered a unique diagnostic tool that can detect dystonia from MRI scans. It is the first technology of its kind to provide an objective diagnosis of the disorder. Dystonia is a potentially disabling neurological condition which causes involuntary muscle contractions, driving to abnormal movements and postures. It is often mistreated and sometimes takes people up to 10 years to get a correct diagnosis. A new study by PNAS researches shows that they have developed an AI-based deep learning platform on September 28, called DystoniaNet to compare brain MRIs of 612 people.

Artificial Intelligence May Predict Osteoarthritis Years Before Onset – IAM Network


September 23, 2020 – An artificial intelligence algorithm can detect subtle signs of osteoarthritis in MRI scans, years before symptoms of the condition even begin. Researchers at University of Pittsburgh School of Medicine and Carnegie Mellon University College of Engineering noted that right now, the primary treatment for osteoarthritis is joint replacement. The condition is so prevalent that knee replacement is the most common surgery in the US for people over the age of 45. "The gold standard for diagnosing arthritis is x-ray. As the cartilage deteriorates, the space between the bones decreases," said study co-author Kenneth Urish, MD, PhD, associate professor of orthopaedic surgery at Pitt and associate medical director of the bone and joint center at UPMC Magee-Womens Hospital. "The problem is, when you see arthritis on x-rays, the damage has already been done. It's much easier to prevent cartilage from falling apart than trying to get it to grow again."

Computer Uses Human Brain Signals to Model Visual Perception


Lama Nachman, is an Intel Fellow & Director of Anticipatory Computing Lab. Lama is best known for her work with Prof. Stephen Hawking, she was instrumental in building an assistive computer system to assist Prof. Stephen Hawking in communicating. Today she is assisting British roboticist Dr. Peter Scott-Morgan to communicate. In 2017, Dr. Peter Scott-Morgan received a diagnosis of motor neurone disease (MND), also known as ALS or Lou Gehrig's disease. MND attacks the brain and nerves and eventually paralyzes all muscles, even those that enable breathing and swallowing.

Artificial intelligence detects osteoarthritis years before it develops


Researchers at the University of Pittsburgh School of Medicine and Carnegie Mellon University College of Engineering have created a machine-learning algorithm that can detect subtle signs of osteoarthritis--too abstract to register in the eye of a trained radiologist--on an MRI scan taken years before symptoms even begin. These results will publish this week in PNAS. With this predictive approach, patients could one day be treated with preventative drugs rather than undergoing joint replacement surgery. "The gold standard for diagnosing arthritis is X-ray. As the cartilage deteriorates, the space between the bones decreases," said study co-author Kenneth Urish, M.D., Ph.D., associate professor of orthopaedic surgery at Pitt and associate medical director of the bone and joint center at UPMC Magee-Womens Hospital.