A guided review of machine learning in the design and application for pore nanoarchitectonics of carbon materials DOI
Chuang Wang, Xingxing Cheng, Kai Luo

et al.

Materials Science and Engineering R Reports, Journal Year: 2025, Volume and Issue: 165, P. 101010 - 101010

Published: May 3, 2025

Language: Английский

Navigating regulatory challenges in molecularly tailored nanomedicine DOI
Ajay Vikram Singh,

Preeti Bhardwaj,

Aditya Kumar Upadhyay

et al.

Published: April 25, 2024

Nanomedicine, a convergence of nanotechnology and medical sciences, has unleashed transformative potential in healthcare. However, harnessing the benefits nanomedicine requires thorough understanding its regulatory landscape. An in-depth discussion considerations, including molecular safety assessment, harmonization landscape, shaping future innovation, is presented this discourse. The assessment entails evaluating interactions between nanoparticles biomolecules, ensuring compatibility at level. Harmonization involves developing international standards guidelines for consistent approach, while innovations emphasizes integrating assessments into early stages development. Challenges encompass need standardized methods, balancing innovation with safety, addressing unique features novel designs. As landscape evolves, effective strategies must navigate intricate interplay molecules technologies, both patient access product safety.

Language: Английский

Citations

25

Quantitative prediction of toxicological points of departure using two-stage machine learning models: A new approach methodology (NAM) for chemical risk assessment DOI

Vaisali Chandrasekar,

Saad Mohammad,

Omar M. Aboumarzouk

et al.

Journal of Hazardous Materials, Journal Year: 2025, Volume and Issue: 487, P. 137071 - 137071

Published: Jan. 10, 2025

Language: Английский

Citations

6

A ROS‐Responsive Lipid Nanoparticles Release Multifunctional Hydrogel Based on Microenvironment Regulation Promotes Infected Diabetic Wound Healing DOI Creative Commons
Hao Yang, Dongming Lv, Shanqiang Qu

et al.

Advanced Science, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 23, 2024

The continuous imbalance of the diabetic wound microenvironment is an important cause chronic nonhealing, which manifests as a vicious cycle between excessive accumulation reactive oxygen species (ROS) and abnormal healing. Regulating by suppressing inflammation, oxidative stress, bacterial infection key challenge in treating wounds. In this study, ROS-responsive hydrogels are developed composed silk fibroin methacrylated (SFMA), modified collagen type III (rCol

Language: Английский

Citations

14

AI and ML-based risk assessment of chemicals: predicting carcinogenic risk from chemical-induced genomic instability DOI Creative Commons
Ajay Vikram Singh,

Preeti Bhardwaj,

Peter Laux

et al.

Frontiers in Toxicology, Journal Year: 2024, Volume and Issue: 6

Published: Nov. 26, 2024

Chemical risk assessment plays a pivotal role in safeguarding public health and environmental safety by evaluating the potential hazards risks associated with chemical exposures. In recent years, convergence of artificial intelligence (AI), machine learning (ML), omics technologies has revolutionized field assessment, offering new insights into toxicity mechanisms, predictive modeling, management strategies. This perspective review explores synergistic AI/ML deciphering clastogen-induced genomic instability for carcinogenic prediction. We provide an overview key findings, challenges, opportunities integrating highlighting successful applications case studies across diverse sectors. From predicting genotoxicity mutagenicity to elucidating molecular pathways underlying carcinogenesis, integrative approaches offer comprehensive framework understanding exposures mitigating risks. Future perspectives advancing cancer prevention through data integration, advanced techniques, translational research, policy implementation are discussed. By implementing capabilities technologies, researchers policymakers can enhance protection, inform regulatory decisions, promote sustainable development healthier future.

Language: Английский

Citations

12

Recent Advances in Magnesium–Magnesium Oxide Nanoparticle Composites for Biomedical Applications DOI Creative Commons
Abbas Saberi, Mădălina Simona Bălţatu, Petrică Vizureanu

et al.

Bioengineering, Journal Year: 2024, Volume and Issue: 11(5), P. 508 - 508

Published: May 17, 2024

Magnesium (Mg) is considered an attractive option for orthopedic applications due to its density and elastic modulus close the natural bone of body, as well biodegradability good tensile strength. However, it faces serious challenges, including a high degradation rate and, result, loss mechanical properties during long periods exposure biological environment. Also, among other weaknesses, can be mentioned that does not deal with bacterial biofilms. It has been found making composites by synergizing various components efficient way improve properties. Among metal oxide nanoparticles, magnesium nanoparticles (MgO NPs) have distinct physicochemical properties, biocompatibility, biodegradability, bioactivity, significant antibacterial which make choice reinforcement in composites. lack comprehensive understanding effectiveness Mg NPs matrix reinforcements mechanical, corrosion, fields challenge their application. While introducing role MgO medical fields, this article summarizes most important results recent research on performance Mg/MgO

Language: Английский

Citations

11

Food Recommendation Towards Personalized Wellbeing DOI

Guanhua Qiao,

Dachuan Zhang, Nana Zhang

et al.

Trends in Food Science & Technology, Journal Year: 2025, Volume and Issue: unknown, P. 104877 - 104877

Published: Jan. 1, 2025

Language: Английский

Citations

1

Integrated approaches for immunotoxicity risk assessment: challenges and future directions DOI Creative Commons

Vaisali Chandrasekar,

Anu Jayanthi Panicker,

Avishek Dey

et al.

Deleted Journal, Journal Year: 2024, Volume and Issue: 1(1)

Published: Oct. 29, 2024

The integration of immunotoxicity data into chemical risk assessment paradigms is essential for comprehensively evaluating the potential health hazards posed by exposures. This review provides a comprehensive overview methodologies, challenges, and future directions integrating frameworks. It discusses fundamental principles immunotoxicology its relevance to assessment, highlighting critical roles immune system in defense against harmful agents. Next, we explore traditional frameworks, including exposure hazard identification, dose–response characterization, need incorporating endpoints enhance characterization estimation. Subsequently, delve modelling immunotoxicity, elucidating principles, methods, case studies illustrating relationships extrapolation from animal humans. Furthermore, discuss focusing on identification immunotoxic hazards, evaluation endpoints, utilization immunological biomarkers assessment. We then examine cumulative strategies, presenting conceptual framework assessing risks multiple exposures methods different chemicals. Lastly, emerging trends high-throughput screening assays, omics technologies, computational modelling, alternative testing along with regulatory implications research needs. valuable insights researchers, regulators, stakeholders involved public protection, facilitating development evidence-based strategies safeguarding human associated

Language: Английский

Citations

8

AI-powered revolution in plant sciences: advancements, applications, and challenges for sustainable agriculture and food security DOI Creative Commons

Deependra Kumar Gupta,

Anselmo Pagani, Paolo Zamboni

et al.

Published: Aug. 6, 2024

Artificial intelligence (AI) is revolutionizing plant sciences by enabling precise species identification, early disease diagnosis, crop yield prediction, and precision agriculture optimization. AI uses machine learning image recognition to aid ecological research biodiversity conservation. It plays a crucial role in breeding accelerating the development of resilient, high-yielding crops with desirable traits. models using climate soil data contribute sustainable food security. In phenotyping, automates measurement analysis characteristics, enhancing our understanding growth. Ongoing aims improve models’ robustness interpretability while addressing privacy algorithmic biases. Interdisciplinary collaboration essential fully harness AI’s potential for sustainable, food-secure future.

Language: Английский

Citations

5

The Dawn of a New Pharmaceutical Epoch: Can AI and Robotics Reshape Drug Formulation? DOI Creative Commons
Pauric Bannigan, Riley J. Hickman, Alán Aspuru‐Guzik

et al.

Advanced Healthcare Materials, Journal Year: 2024, Volume and Issue: 13(29)

Published: Aug. 18, 2024

Abstract Over the last four decades, pharmaceutical companies’ expenditures on research and development have increased 51‐fold. During this same time, clinical success rates for new drugs remained unchanged at about 10 percent, predominantly due to lack of efficacy and/or safety concerns. This persistent problem underscores need innovate across entire drug process, particularly in formulation, which is often deprioritized under‐resourced.

Language: Английский

Citations

5

Transformative Impact of Nanocarrier‐Mediated Drug Delivery: Overcoming Biological Barriers and Expanding Therapeutic Horizons DOI Creative Commons
Minhye Kim,

Myeongyeon Shin,

Yaping Zhao

et al.

Small Science, Journal Year: 2024, Volume and Issue: 4(11)

Published: Sept. 17, 2024

Advancing therapeutic progress is centered on developing drug delivery systems (DDS) that control molecule release, ensuring precise targeting and optimal concentrations. Targeted DDS enhances treatment efficacy minimizes off-target effects, but struggles with degradation. Over the last three decades, nanopharmaceuticals have evolved from laboratory concepts into clinical products, highlighting profound impact of nanotechnology in medicine. Despite advancements, effective therapeutics remains challenging because biological barriers. Nanocarriers offer a solution small size, high surface-to-volume ratios, customizable properties. These address physiological challenges, such as shear stress, protein adsorption, quick clearance. They allow targeted to specific tissues, improve outcomes, reduce adverse effects. exhibit controlled decreased degradation, enhanced efficacy. Their size facilitates cell membrane penetration intracellular delivery. Surface modifications increase affinity for types, allowing This study also elucidates potential integration artificial intelligence nanoscience innovate future nanocarrier systems.

Language: Английский

Citations

5