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News
October 1, 2026
HSE Researchers Show How Congenital Motor Disorders Affect Brain Development
Researchers from HSE University’s Institute for Cognitive Neuroscience have synthesised the findings of their previous studies on brain development in children with obstetric brachial plexus palsy and arthrogryposis. Their analysis shows that impaired motor function in early childhood not only limits children’s motor experience but also affects memory, categorical thinking, and information processing. The study has been published in Frontiers in Psychology.
October 1, 2026
Window into the Body: Scientists Develop Neural Network to Detect Risk of 15 Diseases from Retinal Images
Russian universities, with the participation of HSE University, Sber, and Z-union, have developed a neural network that can simultaneously assess the risk of 15 types of pathology from retinal photographs, including not only eye diseases but also cardiovascular conditions. The AI system can help clinicians detect potentially concerning changes at an early stage, identify signs reflecting the condition of retinal blood vessels, and determine whether a patient may need further examination. The paper has been published in Frontiers in Medicine.
September 30, 2026
'We Did Not Limit the Time for Questions'
The International Laboratory for Supercomputer Atomistic Modelling and Multi-Scale Analysis at HSE University held a major conference on molecular dynamics. Participants had the opportunity to attend all the presentations, while speakers were given as much time as they needed to answer questions. The HSE News Service interviewed Grigory Smirnov, Head of the Laboratory, and Genri Norman, Chief Research Fellow, about the conference preparations and the discussions it generated.

 

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Navigating the Future: AI, Global Supply Chains, and ESG for Sustainable Development

Sustainable Development. 2026. Vol. 34. No. S2. P. 403–421.
Tiwari S., Tzeremes P., Kazemzadeh E., Soltani H., Doğan B.

This study examines the impact of global supply chain pressures (GSCP), artificial intelligence (AI), economic complexity (EC), and sustainability uncertainty (SUI) on the productive capacities index (PCI) in the United States from 2018 to 2024. Employing advanced econometric techniques—including quantile-on-quantile regression (QQR), cross-quantilogram (CQ), and wavelet-quantile correlation (WQC)—the analysis assesses variable effects, directional predictability, causal relationships, and multiscale correlations. The findings indicate that AI significantly enhances productive capacity through technological innovation, automation, and efficiency gains. In contrast, GSCP and ESG-related uncertainties (captured by EC and SUI) hinder productive capacities by exacerbating operational disruptions and investment risks across US industries. These results underscore the necessity for strategic policy interventions that leverage AI's potential to mitigate supply chain vulnerabilities and sustainability challenges. To bolster productive capacities, we recommend that US policymakers prioritize fostering a dynamic entrepreneurial ecosystem, promoting technological innovation, strengthening infrastructure resilience, and investing in human capital development. This study provides critical insights for policymakers, industry leaders, and researchers navigating the interplay of technological advancement, global supply chain volatility, and sustainability in shaping economic productivity.

Research target: Economics and Management
Language: English
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DOI
Text on another site
Keywords: global supply chainssustainable developmentAIESG
Publication based on the results of:
Trends and factors of sustainable science and technology development (2025)
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