BU Scientists Awarded $1.9 Million to Accelerate Coronavirus Research
Source: The Brink Since the novel and fast-spreading SARS-CoV-2 coronavirus first upended life in the United States and around the world, scientists at Boston University’s National Emerging Infectious Diseases Laboratories (NEIDL) have dropped nearly every other research project to focus on understanding and combating the virus. Now, BU scientists have received nearly $1.9 million in […]
Deep Learning Algorithm Outperforms Experts in Making Alzheimer’s Diagnosis
Source: The Brink Alzheimer’s disease is the sixth leading cause of death in the United States. Today, more than five million Americans are living with the neurodegenerative disorder, and that number is predicted to rise to 14 million by 2050. Yet, because different people have different symptoms, it can be hard to get a clear […]
AI Algorithm Can Accurately Predict Risk, Diagnose Alzheimer’s Disease
Source: BU School of Medicine Researchers have developed a computer algorithm based on Artificial Intelligence (AI) that can accurately predict the risk for and diagnose Alzheimer’s disease using a combination of brain magnetic resonance imaging (MRI), testing to measure cognitive impairment, along with data on age and gender. The AI strategy, based on a deep […]
Boston University Investigators and Staff Attend 2020 Stand Up to Cancer Scientific Summit
Investigators and staff from BU recently attended the 2020 Stand up to Cancer Scientific Summit on behalf of our SU2C-LUNGevity-ALA-AACR Lung Cancer Interception Dream Team. Dr. Avi Spira (principal investigator), Dr. Sarah Mazzilli (junior investigator) and Dr. Liz Moses (project manager), as well as collaborators from UCLA, co-lead Dr. Steve Dubinett and Roswell Park Cancer […]
Novel respiratory cell changes identified from cigarette smoke exposure
Source: Medical Press Cigarette smoking changes the types of cells that are present in the respiratory track and some biological processes necessary for detoxification of cigarette smoke are restricted to specific types of cells. “Our study describes novel respiratory cell changes that result from cigarette smoke exposure that may be associated with the development of pre-cancerous tissue,” […]
New candidate cancer genes identified using math models
Source: EurekAlert (Boston)–Computational modeling is the use of computers to simulate and study the behavior of complex systems. Computational approaches are widely adopted in the bioimedical sciences and can be used to sift through large volumes of complex data to extract recurrent patterns that may point to a disease’s causes and effects. Researchers from Boston […]
New Method for Evaluating Cancer Risk of Chemicals is Quick, Precise, Inexpensive
Dr. Stefano Monti explains his research methodology on fingerprinting carcinogens in our environment Tuesday, April 9, 2019 Source: EurekAlert! (Boston)–Researchers from Boston University Schools of Medicine (BUSM) and Public Health have developed and evaluated a fast, accurate and cost-effective approach to assessing the carcinogenicity of chemicals–that is, whether exposure to a chemical increases a person’s long-term […]
What If We Could Stop Lung Cancer Before It Starts?
Tuesday, April 23, 2019 Source: BU Today In this microscopic image of precancerous lung tissue, the hot pink cells are dividing faster than in normal lung tissue. Credit: Beane, et al., Nature Communications Genomic differences related to the immune system may play a key role in the early development of lung cancer. That finding, published […]
Researchers Develop Combined Data Model to Better Evaluate for Mild Cognitive Impairment
Thursday, October 4, 2018 Source: BUSM A new study has shown that by combining imaging and neuropsychological testing, one can more accurately assess the cognitive status of individuals. Cognitive decline is one of the most concerning behavioral symptoms associated with Alzheimer’s disease (AD). The ability to efficiently distinguish individuals with mild cognitive impairment (MCI) from individuals […]
Educating the Next Generation of Medical Professionals with Machine Learning is Essential
Thursday, September 27, 2018 Source: BUSM Artificial intelligence (AI) driven by machine learning (ML) algorithms is a branch in the field of computer science that is rapidly gaining popularity within the healthcare sector. However, graduate medical education and other teaching programs within academic teaching hospitals across the U.S. and around the world have not yet come […]