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Study Links Increased Screen Time to Poorer Child Development Outcomes

Study Links Increased Screen Time to Poorer Child Development Outcomes

A new study has found a correlation between increased screen time in children and poorer developmental outcomes across various areas, including cognitive function, learning, speech, behavior, and emotional regulation. The research, led by senior author Sheri Madigan, a professor of psychology at the University of Calgary, Canada, reviewed decades of studies involving nearly three million children aged 18 and under from 64 countries. While the associations were generally small, the researchers emphasize their significance given the near-universal exposure to screens in children's lives. The study also noted that more recent research indicates stronger links between screen time and child development compared to older studies, possibly due to the evolving nature of digital devices, which are now more interactive and pervasive. The findings suggest that while technology can be a valuable tool for learning and creativity, it can also displace essential activities for child development such as sleep, physical ac...

Tempus AI Seeks Computational Biologist for Pharma R in Boston

Tempus AI Seeks Computational Biologist for Pharma R in Boston

Tempus AI Seeks Computational Biologist for Pharma R in Boston

Southern Illinois University Researchers Utilize AI to Accelerate Bacteria Detection

Southern Illinois University Researchers Utilize AI to Accelerate Bacteria Detection

Researchers at Southern Illinois University Carbondale are employing artificial intelligence (AI) to significantly speed up the analysis of bacterial changes following antibiotic introduction. This new method reduces the time required for detection from several days to just a few hours. The traditional process of analyzing how single-cell bacteria react to antibiotics typically involves manual observation, which is time-consuming and prone to errors. The AI model, developed by researchers Li and Tragoudas, analyzes real-time imaging of microscopic fluid samples containing bacteria, such as E. coli, exposed to varying concentrations of antibiotics. This innovation addresses a critical need in healthcare, as the misuse or overuse of antibiotics, often due to slow diagnostic results, contributes to antimicrobial resistance (AMR). The Centers for Disease Control and Prevention (CDC) reports over 2.8 million AMR infections annually in the U.S., leading to more than 35,000 deaths and $4.6 billion in healthcare c...

Hope for Precision Medicine in ADNP Syndrome as Researchers Advance Novel Treatment

Hope for Precision Medicine in ADNP Syndrome as Researchers Advance Novel Treatment

Researchers are making significant strides towards developing a precision medicine for ADNP syndrome, a rare genetic autism disorder caused by variants in the ADNP gene. Dr. Joseph Buxbaum, Director of Seaver Autism Center at Mount Sinai, is leading efforts to develop a novel treatment that aims to overcome limitations often associated with traditional gene therapies, such as immunotoxicity and therapy specificity. ADNP syndrome, also known as Helsmoortel-Van der Aa syndrome, currently has no existing disease-modifying treatment. Dr. Buxbaum and his collaborators, with support from the Oxford-Harrington Rare Disease Centre, have screened thousands of compounds and narrowed them down to a few dozen. They are now conducting tests to identify a lead compound for testing in disease models of ADNP syndrome. The project emphasizes collaboration across academic institutions, research centers, and with families and advocacy groups, highlighting the importance of a community-driven approach to rare disease research...

Speech Biomarkers Offer New Insights into Brain and Epigenetic Aging

Speech Biomarkers Offer New Insights into Brain and Epigenetic Aging

Researchers have developed a machine learning 'speech clock' that can estimate a person's biological age based on hundreds of acoustic and linguistic features. This innovative tool, developed by Trinity College Dublin, analyzes elements such as speech rate, pauses, pitch, emotional expression, vocabulary, and semantic precision. The study, published in Science Advances, involved 2,928 Spanish-speaking participants, including healthy adults and individuals with mild cognitive impairment, Alzheimer’s disease, and various forms of frontotemporal dementia. The 'speech age gap'—the difference between a person's chronological age and their estimated biological age from speech—was found to correlate with multiple independent markers of biological aging, brain health, cognition, social adversity, and dementia. Individuals whose speech appeared older than their chronological age exhibited signs of aging in structural and functional neuroimaging, as well as epigenetic aging based on DNA methylation changes. Larger s...

Profluent Partners with BioMarin to Design Novel Medicines Using AI for Genetically Defined Conditions

Profluent Partners with BioMarin to Design Novel Medicines Using AI for Genetically Defined Conditions

Profluent, an AI lab specializing in biology, has announced a collaboration with BioMarin Pharmaceutical Inc. to design and optimize novel enzyme therapies. This partnership aims to advance next-generation candidates for genetically defined conditions. Profluent will leverage its proprietary protein language models, which utilize the Profluent Protein Atlas—the world's largest protein sequence dataset with over 115 billion unique sequences—to generate and optimize enzyme candidates. BioMarin will then screen these AI-designed proteins to identify potential drug candidates with desired activity and stability profiles for further evaluation and preclinical testing. This collaboration combines Profluent's advanced AI models for de novo protein design with BioMarin's extensive expertise in enzyme replacement therapies.

UF-Led Alzheimer's Research Center Receives $22 Million NIH Grant, Neuropacs CSO to Lead Scientific Efforts

UF-Led Alzheimer's Research Center Receives $22 Million NIH Grant, Neuropacs CSO to Lead Scientific Efforts

The University of Florida-led Alzheimer’s Disease Research Center (1Florida ADRC) has been awarded a $22 million grant from the National Institutes of Health (NIH). This significant funding positions Florida as one of only 37 ADRCs in the United States and the sole center in the state. Neuropacs Corp. announced that its Co-Founder and Chief Scientific Officer, Dr. David Vaillancourt, will play a key scientific leadership role within the 1Florida ADRC. The center is a collaborative effort involving the University of Florida, Florida Atlantic University, the University of Miami, and Mount Sinai Medical Center, focusing on early detection, disease stratification, and longitudinal monitoring of neurodegenerative disorders. Dr. Vaillancourt, an expert in neurodegenerative imaging, will lead major components of the center’s imaging and biomarker strategy, leveraging his laboratory's work in advanced MRI techniques and machine learning for characterizing neurodegeneration. This research also underpins Neuropacs’ ...

NYU Abu Dhabi Researchers Uncover Diverse Cellular Responses to Cancer-Causing Genes

NYU Abu Dhabi Researchers Uncover Diverse Cellular Responses to Cancer-Causing Genes

Scientists at NYU Abu Dhabi have discovered that a single cancer-causing gene can elicit varied responses in cells, with some responses preventing tumors while others may contribute to their development. The study, published in EMBO Reports, found that the gene UHRF1 can trigger multiple forms of cellular senescence. Cellular senescence is a natural defense mechanism where damaged cells stop dividing to prevent cancer. Using a zebrafish model of liver cancer, researchers observed that some precancerous cells become terminally senescent, meaning they cannot form tumors, while others can regain the ability to divide and potentially lead to cancer. The team also tested a common senolytic, a drug designed to eliminate senescent cells, and found it was effective against only certain types of precancerous cells, highlighting the complexity of cellular responses.

OCD Affects 2.3% of U.S. Adults, Often Misunderstood as Common Habits

OCD Affects 2.3% of U.S. Adults, Often Misunderstood as Common Habits

Obsessive-compulsive disorder (OCD) is a clinically diagnosed mental health condition affecting an estimated 2.3% of U.S. adults at some point in their lifetime, according to data from the National Institute of Mental Health (NIMH). Despite its prevalence, the term 'OCD' is frequently misused in everyday language to describe preferences for tidiness or organization. Medically, OCD is characterized by a cycle of intrusive, distressing thoughts (obsessions) and repetitive behaviors or mental acts (compulsions) performed to alleviate that distress. These obsessions and compulsions must be time-consuming, often exceeding one hour daily, or cause significant impairment in daily functioning to meet diagnostic criteria as defined by the American Psychiatric Association's DSM-5-TR and the World Health Organization's ICD-11. Common symptom categories include fears of contamination leading to excessive cleaning, repeated checking behaviors, a need for symmetry and order, and intrusive thoughts about harm or taboo to...

AI-Identified Biomarkers Require Rigorous Validation Beyond Initial Accuracy for Clinical Utility

AI-Identified Biomarkers Require Rigorous Validation Beyond Initial Accuracy for Clinical Utility

A recent review published in the journal Signal Transduction and Targeted Therapy highlights that while artificial intelligence (AI) can accurately identify promising disease signals or biomarkers from various data sources, their clinical utility depends on rigorous validation beyond initial predictive power. The review emphasizes that many AI-derived biomarker candidates, despite performing well in initial studies, often fail to be reproduced in independent cohorts or improve clinical decisions. The authors stress the need for biomarkers to be reproducible, biologically relevant, clinically applicable, and prospectively validated. AI's ability to integrate multi-scale data, including genomic, proteomic, imaging, and digital information, is powerful, but challenges such as bias, confounding, data heterogeneity, overfitting, and weak external validation can limit their translation into patient care. The review calls for a development pathway that spans discovery, external validation, testing under different...

University of Rochester Medical Center Research Suggests Circadian Rhythm Reinforcement Aids Stroke Recovery

University of Rochester Medical Center Research Suggests Circadian Rhythm Reinforcement Aids Stroke Recovery

Scientists at the University of Rochester Medical Center have published research in the Journal of Clinical Investigation indicating that interventions designed to strengthen circadian rhythms can improve brain recovery after a stroke. The study, conducted on mouse models, demonstrated that reinforcing the body's natural daily rhythms led to enhanced activity in the glymphatic system, the brain's waste-clearing network, and reduced levels of inflammatory molecules post-stroke. This builds upon over a decade of research by neuroscientist Maiken Nedergaard, MD, DMSc, who discovered the glymphatic system in 2012. Further work by neuroscientist Lauren Hablitz, PhD, established a direct link between circadian biology and glymphatic function, showing that this system operates on daily cycles even independently of sleep. The research suggests that stroke not only causes vascular damage but also disrupts the brain's timing, leading to impaired glymphatic function and accumulation of harmful molecules. Intervention...

UC Berkeley Professor Highlights Love's Vital Role in Human Survival and Well-being

UC Berkeley Professor Highlights Love's Vital Role in Human Survival and Well-being

UC Berkeley Professor Highlights Love's Vital Role in Human Survival and Well-being