Direct Prosthesis Force Control with Tactile Feedback May Connect with the Internal Model DOI Creative Commons
Nabeel Hasan Chowdhury, Susan Schramfield,

Patrick Pariseau

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 11, 2024

Abstract Introduction Dynamic modulation of grip occurs mainly within the major structures brain stem, in parallel with cortical control. This basic, but fundamental level brain, is robust to ill-formed feedback and be useful, it may not require all perceptual information we are consciously aware. makes viable candidate for using peripheral nerve stimulation (PNS), a form tactile that conveys intensity location touch well does currently reproduce other qualities natural touch. Previous studies indicate PNS can integrate basic levels motor system at pre-perceptual processed optimally multisensory integration, there little evidence if used effectively corrections. Methods We performed study an individual mid-radial upper limb difference who has cuff electrodes on his nerves give him sense perform object movement over barrier task. During this task measured how participant moved prosthetic hand space, they varied their force object, muscle signals as changed. tested four different conditions: without stimulated sensation combined user having control or velocity movement. Results Given direct force, participant’s output significantly correlated puck’s displacement up apex movement, did correlate afterwards. indicated trend increasing when lifting puck, no decrease lowering it. In comparison, puck intact hand, had small significant increase half cases, always puck. When controller stimulation, slipped dropped more times (p < 0.05) compared feedback. result implied intended loosen grip, prosthesis opened instead, which would explain lack reduction initial results. The analysis intent decoded from EMG during use shows lower high shatter threshold, gave better where threshold was. With low tended modulate contractions constant were given (no correlation movement) generally increased towards moderate kept relatively contractile stimulation. contrast mixed decreasing indicating global desire change one direction other. Finally, showed participants higher above movements 0.001), addition either lowered closer 0.001). Stimulation cause instantaneous confidence create positional awareness controller. Discussion While show any changes tasks, number loosening events indicates have been trying reduce behavior matches hand. order convert into correct needs overall design modern devices allow smaller static grip. Furthermore, improvements amplify estimate slip forces fingertips will provide useful participant.

Language: Английский

Influence of next-generation artificial intelligence on headache research, diagnosis and treatment: the junior editorial board members’ vision – part 2 DOI Creative Commons
Igor Petrušić, Chia‐Chun Chiang, David García‐Azorín

et al.

The Journal of Headache and Pain, Journal Year: 2025, Volume and Issue: 26(1)

Published: Jan. 2, 2025

Part 2 explores the transformative potential of artificial intelligence (AI) in addressing complexities headache disorders through innovative approaches, including digital twin models, wearable healthcare technologies and biosensors, AI-driven drug discovery. Digital twins, as dynamic representations patients, offer opportunities for personalized management by integrating diverse datasets such neuroimaging, multiomics, sensor data to advance research, optimize treatment, enable virtual trials. In addition, devices equipped with next-generation biosensors combined multi-agent chatbots could real-time physiological biochemical monitoring, diagnosing, facilitating early attack forecasting prevention, disease tracking, interventions. Furthermore, advances discovery leverage machine learning generative AI accelerate identification novel therapeutic targets treatment strategies migraine other disorders. Despite these advances, challenges standardization, model explainability, ethical considerations remain pivotal. Collaborative efforts between clinicians, biomedical biotechnological engineers, scientists, legal representatives bioethics experts are essential overcoming barriers unlocking AI's full transforming research healthcare. This is a call action proposing frameworks AI-based into care.

Language: Английский

Citations

2
Decoding brain aging trajectory: predictive discrepancies, genetic susceptibilities, and emerging therapeutic strategies DOI Creative Commons
Yulia K. Komleva,

K. A. Shpiliukova,

N. I. Bondar

et al.

Frontiers in Aging Neuroscience, Journal Year: 2025, Volume and Issue: 17

Published: March 19, 2025

The global extension of human lifespan has intensified the focus on aging, yet its underlying mechanisms remain inadequately understood. article highlights aspects genetic susceptibility to impaired brain bioenergetics, trends in age-related gene expression related neuroinflammation and senescence, impact stem cell exhaustion quiescence accelerated aging. We also review accumulation senescent cells, mitochondrial dysfunction, metabolic disturbances as central pathological processes emphasizing how these factors contribute inflammation disrupt cellular competition defining aging trajectory. Furthermore, we discuss emerging therapeutic strategies future potential integrating advanced technologies refine assessments. combination several methods including analysis, neuroimaging techniques, cognitive tests digital twins, offer a novel approach by simulating monitoring individual health trajectories, thereby providing more accurate personalized insights. Conclusively, estimation trajectories is crucial for understanding managing processes, potentially transforming preventive improve outcomes populations.

Language: Английский

Citations

0
In Silico Research Is Rewriting the Rules of Drug Development: Is It the End of Human Trials? DOI Open Access
Shaheen E Lakhan

Cureus, Journal Year: 2025, Volume and Issue: unknown

Published: May 13, 2025

Recent advances in computational biology, artificial intelligence (AI), and regulatory science are rapidly displacing the traditional reliance on animal early-phase human trials drug development. In April 2025, U.S. Food Drug Administration announced a landmark decision to phase out mandatory testing for many types, signaling paradigm shift toward silico methodologies. This editorial explores how computer-based models, especially digital twins, emerging as fourth pillar of biomedical science, capable simulating complex systems with remarkable accuracy. Drawing real-world examples from oncology, neurology, submissions, argues that tools no longer ancillary but central modern research. These technologies enable rapid, ethical, cost-effective discovery while offering personalized therapeutic insights. As machine learning, multi-omics integration, predictive simulations mature, their credibility grows, particularly initiatives such model-informed development therapeutics. The concludes by urging adoption standardized frameworks, explainable AI, infrastructure investment ensure research fulfills its transformative potential. Within decade, failure employ these methods may be merely outdated, it indefensible.

Language: Английский

Citations

0
The translational power of Alzheimer’s-based organoid models in personalized medicine: an integrated biological and digital approach embodying patient clinical history DOI Creative Commons

Cristina Dolciotti,

Marco Righi,

Eleonora Grecu

et al.

Frontiers in Cellular Neuroscience, Journal Year: 2025, Volume and Issue: 19

Published: May 15, 2025

Alzheimer’s disease (AD) is a complex neurodegenerative condition characterized by multifaceted interplay of genetic, environmental, and pathological factors. Traditional diagnostic research methods, including neuropsychological assessments, imaging, cerebrospinal fluid (CSF) biomarkers, have advanced our understanding but remain limited late-stage detection challenges in modeling progression. The emergence three-dimensional (3D) brain organoids (BOs) offers transformative platform for bridging these gaps. BOs derived from patient-specific induced pluripotent stem cells (iPSCs) mimic the structural functional complexities human brain. This advancement an alternative or complementary approach studying AD pathology, β-amyloid tau protein aggregation, neuroinflammation, aging processes. By integrating biological complexity with cutting-edge technological tools such as organ-on-a-chip systems, microelectrode arrays, artificial intelligence-driven digital twins (DTs), it hoped that will facilitate real-time progression response to interventions. These models capture central nervous system biomarkers establish correlations peripheral markers, fostering holistic mechanisms. Furthermore, provide scalable ethically sound animal models, advancing drug discovery personalized therapeutic strategies. convergence DTs potentially represents significant shift research, enhancing predictive preventive capacities through precise vitro simulations individual trajectories. underscores potential medicine, reducing reliance on invasive diagnostics while promoting early intervention. As progresses, sporadic familial within this framework promises refine heterogeneity drive innovations treatment care.

Language: Английский

Citations

0
Exploring the Potential of Digital Twins in Cancer Treatment: A Narrative Review of Reviews DOI Open Access
Daniele Giansanti, Sandra Morelli

Journal of Clinical Medicine, Journal Year: 2025, Volume and Issue: 14(10), P. 3574 - 3574

Published: May 20, 2025

Background: Digital twin (DT) technology, integrated with artificial intelligence (AI) and machine learning (ML), holds significant potential to transform oncology care. By creating dynamic virtual replicas of patients, DTs allow clinicians simulate disease progression treatment responses, offering a personalized approach cancer treatment. Aim: This narrative review aimed synthesize existing studies on the application digital twins in oncology, focusing their benefits, challenges, ethical considerations. Methods: The reviews (NRR) followed structured selection process using standardized checklist. Searches were conducted PubMed Scopus predefined query oncology. Reviews prioritized based synthesis prior studies, focus Studies evaluated quality parameters (clear rationale, research design, methodology, results, conclusions, conflict disclosure). Only scores above prefixed threshold disclosed conflicts interest included final synthesis; seventeen selected. Results Discussion: offer advantages such as enhanced decision-making, optimized regimens, improved clinical trial design. Moreover, economic forecasts suggest that integration into healthcare systems may significantly reduce costs drive growth precision medicine market. However, challenges include data issues, complexity biological modeling, need for robust computational resources. A comparison cutting-edge contributes this direction confirms also legal considerations, particularly concerning AI, privacy, accountability, remain barriers. Conclusions: great promise, but requires careful attention ethical, legal, operational challenges. Multidisciplinary efforts, supported by evolving regulatory frameworks like those EU, are essential ensuring responsible effective implementation improve patient outcomes.

Language: Английский

Citations

0
Linearizing and forecasting: a reservoir computing route to digital twins of the brain DOI Creative Commons
Gabriele Di Antonio, Tommaso Gili, Andrea Gabrielli

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 22, 2024

Abstract Exploring the dynamics of a complex system, such as human brain, poses significant challenges due to inherent uncertainties and limited data. In this study, we enhance capabilities noisy linear recurrent neural networks (lRNNs) within reservoir computing framework, demonstrating their effectiveness in creating autonomous silico replicas – digital twins brain activity. Our findings reveal that poles Laplace transform high-dimensional inferred lRNNs are directly linked spectral properties observed systems kernels auto-regressive models. Applying theoretical framework resting-state fMRI, successfully predict decompose BOLD signals into spatiotemporal modes low-dimensional latent state space confined around single equilibrium point. provide an interpretable proxy for clustering among subjects different areas. This adaptable digital-twin not only enables virtual experiments but also offers computational efficiency real-time learning, highlighting its potential personalized medicine intervention strategies.

Language: Английский

Citations

0
Direct Prosthesis Force Control with Tactile Feedback May Connect with the Internal Model DOI Creative Commons
Nabeel Hasan Chowdhury, Susan Schramfield,

Patrick Pariseau

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 11, 2024

Abstract Introduction Dynamic modulation of grip occurs mainly within the major structures brain stem, in parallel with cortical control. This basic, but fundamental level brain, is robust to ill-formed feedback and be useful, it may not require all perceptual information we are consciously aware. makes viable candidate for using peripheral nerve stimulation (PNS), a form tactile that conveys intensity location touch well does currently reproduce other qualities natural touch. Previous studies indicate PNS can integrate basic levels motor system at pre-perceptual processed optimally multisensory integration, there little evidence if used effectively corrections. Methods We performed study an individual mid-radial upper limb difference who has cuff electrodes on his nerves give him sense perform object movement over barrier task. During this task measured how participant moved prosthetic hand space, they varied their force object, muscle signals as changed. tested four different conditions: without stimulated sensation combined user having control or velocity movement. Results Given direct force, participant’s output significantly correlated puck’s displacement up apex movement, did correlate afterwards. indicated trend increasing when lifting puck, no decrease lowering it. In comparison, puck intact hand, had small significant increase half cases, always puck. When controller stimulation, slipped dropped more times (p < 0.05) compared feedback. result implied intended loosen grip, prosthesis opened instead, which would explain lack reduction initial results. The analysis intent decoded from EMG during use shows lower high shatter threshold, gave better where threshold was. With low tended modulate contractions constant were given (no correlation movement) generally increased towards moderate kept relatively contractile stimulation. contrast mixed decreasing indicating global desire change one direction other. Finally, showed participants higher above movements 0.001), addition either lowered closer 0.001). Stimulation cause instantaneous confidence create positional awareness controller. Discussion While show any changes tasks, number loosening events indicates have been trying reduce behavior matches hand. order convert into correct needs overall design modern devices allow smaller static grip. Furthermore, improvements amplify estimate slip forces fingertips will provide useful participant.

Language: Английский

Citations

0