ai powered car t therapy analysis

AI-Powered CAR-T Analysis Could Predict Cancer Immunotherapy Response

A machine learning-based method automatically quantifies CAR-T immunological synapse quality using high-resolution images generated with a glass-supported planar lipid bilayer. Artificial neural networks combine object detection and instance segmentation to identify individual cells and measure F-actin, perforin, tumor-antigen, and pZeta signals. The system could analyze thousands of CAR-T cells and demonstrate differences between samples from a clinical responder and non-responder. The findings support CAR-T immunological synapse quality as a potential composite biomarker and provide a foundation for the proposed Synapse Predicts Efficacy assay for CAR-T development and translational cancer immunotherapy research.

AI-Powered CAR-T Analysis Could Predict Cancer Immunotherapy Response Read More »

compact gene silencing alzheimer’s research

Scientists Develop Compact Gene-Silencing Technology for Alzheimer’s Research

Researchers developed an all-in-one AAV epigenome-editing platform using catalytically inactive SaCas9 fused to KRAB and the MeCP2 transcriptional repression domain. The optimized system efficiently repressed target genes in cultured cells and maintained silencing through multiple cell divisions. In mouse hippocampus, the platform reduced reporter expression by approximately 45–60%. When directed against the endogenous Apoe gene, the system reduced ApoE expression by approximately 71% and 53% with two different guide RNAs. Preliminary mouse safety monitoring revealed stable body weight and normal behaviours, providing a preclinical proof-of-concept for programmable gene repression with potential applications in neurodegenerative disease research.

Scientists Develop Compact Gene-Silencing Technology for Alzheimer’s Research Read More »

ashwagandha strength and endurance benefits

Clinical Study Reveals benefits of Ashwagandha for Strength, Muscle Size, and Endurance

An eight-week clinical study investigated the effects of 600 mg/day of Ashwagandha root extract on healthy, physically active men and women undergoing resistance training. Study shows that Ashwagandha supplementation is associated with significantly greater improvements in 1RM bench press and leg press strength, selected measures of muscle size, and VO₂max. IN the participants, VO₂max increased by approximately 9.5% in men and 7% in women in the Ashwagandha group. No adverse events were reported, and clinical safety parameters remained stable, suggesting that the use of Ashwagandha root extract may complement resistance training for improving strength and endurance.

Clinical Study Reveals benefits of Ashwagandha for Strength, Muscle Size, and Endurance Read More »

An AI-based platform “Llama-Gram” have been used to identify FJMU1887

An AI-Discovered Alzheimer’s Drug Candidate Targets Galectin-3

An AI-based platform “Llama-Gram” have been used to identify FJMU1887, a novel small-molecule Galectin-3 inhibitor designed for brain penetration. FJMU1887 bound Gal-3 has been found to disrupt Gal-3–TREM2 interactions and reduced inflammatory signaling in microglial cells, including TNF-α inhibition. When studied in 14-month-old 5×FAD mice, 30-day oral treatment reduced Gal-3 expression, microglial activation, neuroinflammation and Aβ pathology while restoring synaptic markers and improving cognitive performance. The findings establish FJMU1887 as a promising preclinical lead, while long-term safety, selectivity and human efficacy remain to be determined.

An AI-Discovered Alzheimer’s Drug Candidate Targets Galectin-3 Read More »

Wireless 60-Channel AI Neurostimulation Platform

Wireless 60-Channel AI Neurostimulation Platform Targets Real-Time Brain States

A Smart Neurostimulation System is a wireless 60-channel platform that integrates neural sensing, onboard spectral processing, AI classification and programmable stimulation. In three freely moving sheep, movement classifiers achieved cross-validated AUCs of 0.924, 0.979 and 0.969, with performance remaining strong across subsequent weeks. Stimulation experiments demonstrated systematic, parameter-dependent changes in alpha and gamma neural activity, while effects varied considerably by stimulation location. Histological analysis found no adverse tissue response to the tested lead types. The findings establish core technical functionality and a preclinical foundation for personalized, biomarker-guided neuromodulation, while therapeutic efficacy and closed-loop memory benefits remain to be demonstrated.

Wireless 60-Channel AI Neurostimulation Platform Targets Real-Time Brain States Read More »

Blood-Based Biomarkers for Early Alzheimer’s Diagnosis

Blood-Based Biomarkers Could Enable Early Alzheimer’s Diagnosis

The blood-based biomarkers could substantially improve Alzheimer’s disease diagnosis, prognosis and clinical-trial research. Studies highlight plasma p-tau217 and p-tau181 as a strong marker for detecting Alzheimer’s pathology and predicting future cognitive decline. Aβ42/Aβ40 may also provide additional value, especially for preclinical disease, while NfL is more useful as a marker of broader neurodegeneration and GFAP may help monitor disease activity. Blood biomarkers could reduce reliance on PET and CSF testing and make clinical-trial recruitment more efficient.

Blood-Based Biomarkers Could Enable Early Alzheimer’s Diagnosis Read More »

Mediterranean and Nordic Diets for Alzheimer’s

Scientists find Benefits of Mediterranean and Nordic Diets for Alzheimer’s Disease and Dementia

Studies suggests that greater adherence to Mediterranean and Nordic dietary patterns are associated with better cognitive function, slower cognitive decline, in some studies, lower dementia risk and healthier brain ageing. Key dietary recommendations include consuming plenty of vegetables, fruits and berries, legumes, nuts, seeds and whole grains, particularly oats, barley and rye. Regular intake of fish and seafood is also encouraged, while extra virgin olive oil can be used as a primary source of healthy fat. A balanced dietary pattern should emphasize minimally processed, nutrient-rich foods, while incorporating a variety of plant-based foods and healthy unsaturated fats into everyday meals.

Scientists find Benefits of Mediterranean and Nordic Diets for Alzheimer’s Disease and Dementia Read More »

Algae Could Transform the Future of Biofuel Production

How Algae Could Transform the Future of Biofuel Production

Algae-derived biomass has strong potential for sustainable production of third-generation biofuels, including biodiesel, bioethanol, biohydrogen and biobutanol. Algae can be cultivated in open, closed and hybrid systems, with photobioreactors offering greater process control but higher costs. Biomass productivity is influenced by light, temperature, pH, nutrients, CO₂ and algal species. Studies highlight wastewater utilization, CO₂ and nutrient recycling, improved harvesting, genetic engineering, co-cultivation and integrated biorefinery approaches as promising routes toward greater efficiency, lower costs and improved sustainability of algae-based fuel production. Practical commercialization is possible by overcoming cultivation, harvesting, dewatering, processing, energy and economic challenges.

How Algae Could Transform the Future of Biofuel Production Read More »

May Lower Cancer Risk

Just 4 Minutes of Daily Activity May Lower Cancer Risk

People who do not engage in regular exercise or sports may have a higher risk of cancer. A study of 22,398 adults used wrist-worn accelerometers to measure brief bursts of vigorous intermittent lifestyle physical activity (VILPA), mainly lasting one or two minutes. During 6.7 years of follow-up, 2,356 new cancer cases were recorded. About 3.4 minutes of daily VILPA was associated with a 17% lower total cancer incidence, while 3.7 minutes was associated with a 28% lower incidence of physical-activity-related cancers, with stronger associations at 4.5 minutes daily.

Just 4 Minutes of Daily Activity May Lower Cancer Risk Read More »

Autoimmune Disease Prediction Using Deep Learning

Autoimmune Disease Prediction Using Deep Learning and TCR Repertoire Analysis

Scientists developed two deep-learning models, AutoY and LSTMY, to predict four autoimmune diseases—type 1 diabetes, rheumatoid arthritis, multiple sclerosis and idiopathic aplastic anemia from T-cell receptor sequencing data. AutoY generally outperformed LSTMY, achieving AUC values of 0.9991 for T1D and 0.9961 for MS, with high accuracy, sensitivity and specificity. LSTMY also performed strongly, particularly for T1D and MS, while showing greater robustness in some evaluations. In future, combining TCR sequencing, deep learning and immune-repertoire analysis could eventually support biomarker discovery, research-oriented screening and precision-medicine applications.

Autoimmune Disease Prediction Using Deep Learning and TCR Repertoire Analysis Read More »

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