Carmel, CA Artificial Intelligence Programs May Help Predict Alzheimer’s Disease : By Derek Baine

An Artificial Intelligence Program, AI, analyzed language of study participants and found it could be able to predict whether people with no memory or thinking problems would develop Alzheimer’s disease later in life.  Funded by Pfizer and conducted by IBM, the program accurately predicted up to 74% of participants that were diagnosed with the disease later in life.  The study which was published in the journal EClinicalMedicine, analyzed 700 written samples from 27 participants in another study conducted decades ago.  Based on written samples, the study more accurately predicts Alzheimer’s disease than other research.  Experts say that tracking language over time could be done as part of routine medical exams.  For more info, contact our local Alzheimer’s Association in Ryan Ranch.  Regular readers of my blog know that both my father and grandmother had this terrible disease when they passed away.  There are great people at our local chapter of Alzheimer’s Association in Ryan’s Ranch.  They also have a 24-hour hotline if you need support at 800-272-3900.

https://www.usatoday.com/story/news/health/2020/10/22/ibm-study-found-program-analyzing-language-predicts-alzheimers/3728608001/

Monterey, CA Artificial Intelligence Reshaping Healthcare

Artificial Intelligence could completely reshape how medical care is given to seniors in many different ways.  For instance, Michael Recht, chair of radiology at NYU Langone, is spearheading a partnership between NYU Langone and Facebook’s AI’s research group with a goal of reducing the time it takes to conduct an MRI by a factor of 10.  The project, dubbed FastMRI, could enable MRIs to replace x-rays, avoiding radiation exposure.  Imagine going into CHOMP for a quickie MRI.  On the prescription drug side, Michael Frank, director of R&D strategy within Pfizer’s Worldwide R&D group is hoping to leverage machine learning to accelerate drug discovery.  On average, it takes 14 years and $1.6 billion to develop a new drug!