Seragon Biosciences' preclinical study demonstrates that oral SRN-901 extends remaining lifespan in middle-aged mice by 34.4% through combined mTOR inhibition, autophagy activation, NAD+ enhancement, and senolytic action, while improving endurance, cognition, and reducing tumor incidence.

Key points

• Oral administration of SRN-901 extended remaining lifespan by 34.4% in over 300 middle-aged mice.
• Mechanism involves mTOR inhibition, autophagy activation, NAD+ enhancement, and senolytic stimulation.
• Treatment improved endurance, cognitive function, and reduced tumor incidence and metabolic markers.

Why it matters: This multi-targeted drug marks a shift toward combination aging therapies outperforming rapamycin and opening new avenues for human anti-aging treatments.

Researchers from Near East University and collaborating institutions analyse how theoretical and practical AI knowledge influences primary school teachers’ sustainable integration of AI in Northern Cyprus. Using a structured survey and Structural Equation Modeling, they demonstrate that teachers’ beliefs and attitudes critically mediate the impact of AI knowledge on classroom adoption. These findings underscore the importance of professional development that fosters both AI competence and positive perceptions to secure lasting educational innovation.

Key points

• Teachers’ beliefs and attitudes mediate the impact of both theoretical and practical AI knowledge on sustainable AI integration.
• Structural Equation Modeling on 340 primary teachers’ survey data demonstrates that positive perceptions explain 58% of variance in integration ability.
• Both theoretical and practical AI knowledge contribute indirectly to classroom AI adoption, highlighting the need for integrated conceptual and hands-on training.

Why it matters: By revealing that teachers’ perceptions mediate AI adoption, this research reshapes training strategies for enduring, scalable educational technology integration.

PlacidWay’s guide examines Malaysia’s growing anti-aging stem cell therapy market, where unapproved IV infusions of mesenchymal stem cells cost USD 15,000–30,000. It discusses claimed cellular repair mechanisms, contrasts them with global regulatory views, and highlights medical and financial risks from contamination, immune reactions, and lack of proven efficacy.

Key points

• Clinics in Malaysia charge USD 15,000–30,000 for unregulated IV MSC anti-aging infusions.
• Purported cellular repair via MSC homing contrasts with evidence showing pulmonary sequestration of infused cells.
• Unapproved products bypass MOH/NPRA oversight, exposing patients to infection, immune reactions, and tumorigenicity risks.

Why it matters: This report exposes critical safety and regulatory shortcomings in unverified stem cell ‘anti-aging’ therapies, underscoring urgent need for evidence-based oversight.

Macholevante outlines how brain‐computer interfaces translate neural activity—via implanted electrodes or noninvasive sensors and machine-learning decoders—into commands for computers, prosthetics, and stimulation systems, with primary focus on aiding paralysis and speech restoration.

Key points

• Implanted electrode arrays (e.g., Utah array, Stentrode) record high-resolution neural spikes for cursor and robotic limb control
• Noninvasive EEG/fNIRS platforms decode large-scale brain rhythms, offering safer, wearable mental-command interfaces
• Closed-loop systems combine signal decoding and electrical stimulation to restore movement and communication in paralysis

Why it matters: Direct neural interfaces promise to restore autonomy for disabled individuals and pioneer entirely new ways to interact with technology at the speed of thought.

Market Reports Insights leverages comprehensive industry analysis and market adoption trends to project the Artificial Intelligence and Machine Learning market’s valuation at USD 1.8 trillion by 2032. The forecast reflects a sustained 26.5% CAGR driven by data proliferation, algorithmic innovation, and enterprise automation across key verticals.

Key points

• Projected market valuation: USD 1.8 trillion by 2032, representing a 26.5% CAGR from 2025.
• Adoption drivers include enhanced computational power (GPUs, TPUs), big data analytics, and cross-industry automation.
• Emerging trends such as edge AI proliferation, generative AI applications, and ethical AI frameworks shape future market dynamics.

Why it matters: A robust USD 1.8 trillion valuation signals transformative impacts on global digital infrastructure, guiding strategic investments and technology roadmaps.