Seragon Biosciences administers SRN-901 orally to middle-aged mice, achieving a 34.4% extension of remaining lifespan and improved physical endurance. The compound integrates mTOR inhibition, autophagy activation, NAD+ enhancement, and senolytic stimulation to restore youthful gene expression and metabolic profiles, offering a promising approach to mitigate age-related decline and extend disease-free lifespan.

Key points

• Oral SRN-901 extends remaining lifespan by 34.4% and more than doubles endurance in middle-aged mice.
• Drug combines mTOR inhibition, autophagy activation, NAD+ enhancement, and senolytic stimulation to restore youthful gene expression.
• Multi-omics profiling and machine learning bioinformatics reveal pathway modulation, improved metabolic markers, and reduced senescence.

Why it matters: This study demonstrates a multi-targeted drug that robustly extends lifespan and healthspan, paving the way for next-generation longevity therapies.

A team from Ankara University conducted an online survey among 147 Turkish medical oncologists, evaluating their exposure to AI tools (notably LLMs), self-assessed knowledge, and ethical perceptions. Despite 77.5% reporting AI use, only 9.5% had formal training. Respondents advocate for structured education programs, robust legal frameworks, and patient consent to guide responsible AI integration into clinical oncology.

Key points

• Surveyed 147 Turkish oncologists: 77.5% report using AI tools like ChatGPT; only 9.5% received formal training.
• Over 86% self-assess limited knowledge in machine learning and deep learning; 47.6% report no familiarity with LLMs.
• 79.6% find current legal regulations inadequate, calling for ethical audits, informed consent, and shared liability frameworks.

Why it matters: This survey highlights critical training and regulatory gaps to safely integrate AI into oncology practice.

Epigenica’s EpiFinder platform enables simultaneous genome-wide profiling of DNA methylation and histone modifications across diverse sample types. Leveraging multiplex ChIP-seq, it generates up to 192 epigenetic profiles per run, with minimal input material. This scalable approach addresses throughput, cost, and data integration challenges, facilitating drug discovery and precision-medicine research into age-related diseases by uncovering epigenetic biomarkers and mechanisms driving cellular aging.

Key points

• Epigenica secures $2.2M to commercialize EpiFinder high-throughput epigenetic platform.
• EpiFinder Genome performs multiplex ChIP-seq and methylation profiling for eight marks across 24 samples in one run.
• Platform supports diverse input types—cells and tissues—and yields 192 genome-wide profiles per workflow with minimal material.

Why it matters: By enabling multiplexed, scalable epigenomic profiling, researchers can decode aging-related chromatin changes at scale, transforming longevity drug discovery and biomarker development.

Researchers led by Gachon University propose an explainable federated learning (XFL) framework that combines on-board training and secure global aggregation with XAI techniques, optimizing electric vehicle energy management and traffic predictions while preserving data privacy in smart urban environments.

Key points

• Hierarchical federated learning architecture integrates on-vehicle MLP models and secure cloud aggregation to optimize AEV energy consumption and traffic density predictions.
• SHAP and LIME explainability modules identify critical factors like traffic density, speed, and time-of-day, enhancing transparency in model-driven energy control decisions.
• Global MLP model reaches R² of 94.73% for energy consumption and 99.83% for traffic density on a 1.2 million–record AEV telemetry dataset.

Why it matters: By uniting federated learning with explainable AI, this approach delivers scalable, real-time energy optimization and transparency, advancing sustainable smart mobility beyond traditional centralized models.

IndustryTrends at Analytics Insight examines the leading AI education offerings of 2025 by evaluating curriculum depth, instructional format, duration, and cost, enabling informed decisions for career advancement in AI-driven fields across diverse professional backgrounds.

Key points

• Logicmojo’s 7-month live AI course offers 1:1 mentorship, hands-on projects, and guaranteed placement.
• Stanford’s Professional Certificate comprises graduate-level modules on ML, NLP, and CV with flexible online pacing.
• DeepLearning.AI’s five-course specialization focuses on neural network fundamentals, CNNs, RNNs, and sequence models via Coursera.

Top regenerative centers in Dubai and Abu Dhabi utilize autologous mesenchymal stem cells sourced from adipose tissue and bone marrow to stimulate collagen production, modulate inflammation, and promote tissue repair through localized injections and intravenous infusions for comprehensive anti-aging benefits.

Key points

• Use of autologous adipose-derived and bone marrow MSCs to harness regenerative, anti-inflammatory cytokines and exosomes for tissue rejuvenation.
• Administration via localized injections and intravenous infusions to target both aesthetic and systemic anti-aging outcomes.
• Clinical reports cite 70–90% patient satisfaction with improvements in skin elasticity, wrinkle reduction, energy levels, and organ function.

Why it matters: This approach shifts anti-aging care toward regenerative cellular therapies, offering systemic rejuvenation with fewer side effects than conventional cosmetic treatments.