Nanotherapy for Neural Retinal Regeneration
Nanotechnology enhances ophthalmic treatments by improving drug delivery and regenerating ocular tissues, combating vision loss from retinal diseases through innovative nano‐systems. This review outlines ocular anatomy, pathology, immune microenvironment, and barriers, detailing nanocarrier characteristics, classification, and preparation methods, and ...
Chuyao Yu+11 more
wiley +1 more source
Artificial Neural Network - Multi-Objective Genetic Algorithm based optimization for the enhanced pigment accumulation in Synechocystis sp. PCC 6803. [PDF]
Bhagat N+4 more
europepmc +1 more source
sEVs have a critical role in orchestrating interorgan crosstalk and mediating exercise‐induced therapeutic effects. Lin et al. demonstrates that sEVs miR‐17/20a‐5p mediates the muscle‐brain crosstalk and emphasizes the central role of mTOR signaling in executing molecular programs that can protect brain health in response to exercise. Abstract Physical
Huawei Lin+21 more
wiley +1 more source
Overall Staging Prediction for Non-Small Cell Lung Cancer (NSCLC): A Local Pilot Study with Artificial Neural Network Approach. [PDF]
Cheung EYW+7 more
europepmc +1 more source
Advances in Symbiotic Bioabsorbable Devices
This review focuses on recent advances in bioabsorbable devices. This review concludes innovation at the material, device, and system levels, the significant advances toward biomedical applications. This review discusses and highlights the challenges and trends in symbiotic bioresorbable electronics, and provides a new direction for the development of ...
Chang Zhu+3 more
wiley +1 more source
Prediction models for retinopathy of prematurity occurrence based on artificial neural network. [PDF]
Wu R+5 more
europepmc +1 more source
Advancements in Biochar as a Sustainable Adsorbent for Water Pollution Mitigation
Biochar, obtained through pyrolysis of organic waste, serves as a sustainable solution for wastewater treatment due to its adaptability and low‐cost nature. This review comprehensively examines recent advancements in biochar production, functional modifications, and applications, highlighting the integration of machine learning and artificial ...
Devika Laishram+3 more
wiley +1 more source
Enhancing air quality predictions in Chile: Integrating ARIMA and Artificial Neural Network models for Quintero and Coyhaique cities. [PDF]
Vallejo F+9 more
europepmc +1 more source
This study uses gut microbiome data to predict corticosteroid response in patients with immune thrombocytopenia (ITP). Fecal samples from 212 patients with ITP are sequenced. Six machine‐learning algorithms are used to train predictive models. The support vector machine‐based model integrated clinical data and selected microbial species, diversities ...
Feng‐Qi Liu+38 more
wiley +1 more source
Artificial neural network detection of pancreatic cancer from proton (1H) magnetic resonance spectroscopy patterns of plasma metabolites. [PDF]
Solaiyappan M+7 more
europepmc +1 more source