In machine learning, reliable predictions and uncertainty quantification are critical for decision-making, particularly in safety-sensitive domains like healthcare. Model calibration ensures predictions accurately reflect true outcomes, making them robust against extreme over- or underestimation and facilitating trustworthy decision-making. Predictive inference methods, such as Conformal Prediction (CP), offer a model-agnostic and distribution-free approach to uncertainty quantification… →
A notable aspect of peripheral responses in the animal nervous system is localization, where the linear receptive fields of simple-cell neurons respond to specific, contiguous regions much smaller than their total input domain. However, localization poses a critical challenge in understanding neural information processing across sensory systems. Traditional machine learning approaches generate weight distributions, that… →
CONCLUSION: KT demonstrates immediate benefits in reducing pain and improving scapular alignment in individuals with RSP and chronic shoulder pain. These findings underscore its potential effectiveness as a therapeutic intervention for managing symptoms associated with RSP and impingement syndrome, particularly in terms of pain relief and posture enhancement. →
CONCLUSIONS: Six weeks of aerobic training, regardless of its intensity, could induce favorable changes in functional tests, body composition and serum lipids, even in severely obese, extremely unconditioned patients in both groups. However, moderate-intensity aerobic training should at least increase cardiorespiratory capacity and yield a better lipid profile oxidative status and inflammation profile. →
CONCLUSIONS: The trial will inform on the efficacy and safety of a synbiotic containing both aerobic and anerobic bacterial strains and a prebiotic fiber on reduction in bone loss and on indices of blood glucose regulation. This trial may pave the way for an exciting field of translational research and be the underpinnings of the… →
Respiratory symptoms are prevalent in the general population, and they are associated with a decline in lung function and increased mortality. The gut-lung connection suggests intestinal dysbiosis may impact lung diseases, with Akkermansia muciniphila showing promise in regulating extraintestinal diseases. However, its application in patients with respiratory symptoms lacks clinical trial evidence. In this randomized,… →
CONCLUSIONS: adding CGM feedback to INT resulted in better management of blood glucose levels in overweight or obese individuals with prediabetes. →
The advancements in large language models (LLMs) have created opportunities across industries, from automating content creation to improving scientific research. However, significant challenges remain. High-performing models are often proprietary, restricting transparency and access for researchers and developers. Open-source alternatives, while promising, frequently struggle with balancing computational efficiency and performance at scale. Furthermore, limited language diversity… →
Transformers have become the backbone of deep learning models for tasks requiring sequential data processing, such as natural language understanding, computer vision, and reinforcement learning. These models rely heavily on self-attention mechanisms, enabling them to capture complex relationships within input sequences. However, as tasks and models scale, the demand for longer context windows increases significantly.… →
CONCLUSIONS: While numbers in the current RCT were small and require further validation in larger cohorts, the results nevertheless suggest a molecular mechanism by which maternal folic acid supplementation during pregnancy may help to counteract the effects of folate depletion and positively influence cognitive development in the offspring. →