AIMC Topic: Humans

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Microbial and enzymatic strategies for aflatoxin control: Integrating intelligent detection and computational design.

Food chemistry
Aflatoxins (AFs), potent carcinogenic mycotoxins, pose a major global threat to human health. This review offers an in-depth summary of microorganisms capable of degrading AFs, including bacteria, probiotics, and fungi, and highlights the key enzymes...

Advanced biomaterials in immune modulation: The future of regenerative therapies.

International journal of pharmaceutics
Healing of tissue is a complex process controlled by immune responses in the forms of inflammatory, proliferative, and remodeling stages. Dysregulated immunity can interfere with healing and lead to fibrosis or chronic inflammation. Biomaterials engi...

Cuproptosis induced by curcumin interfering with proliferation and energy metabolism in colorectal cancer: 3D tumor model and computational simulations reveal curcumin inhibition of HSPD1 and CALCOCO2.

European journal of pharmacology
PURPOSE: Colorectal cancer is a highly aggressive malignancy characterized by complex tumor micro-environments and significant drug resistance. We highlighted the critical role of curcumin in inhibiting tumor growth and migration, inducing cuproptosi...

Unraveling prognostic biomarkers in oral squamous cell carcinoma: An approach based on explainable artificial intelligence.

Cancer genetics
Oral cancer is among the top malignancies and the leading cause of death worldwide. Poor outcomes are attributed to local recurrence and distant metastasis of disease. There is an urgent need to identify the potential biomarkers that may help in prog...

A cascade approach for the early detection and localization of myocardial infarction in 2D-echocardiography.

Medical engineering & physics
Myocardial infarction (MI) detection and localization through echocardiography are crucial for effective patient management. However, current diagnostic approaches rely heavily on visual assessment, which can be subjective. In this work we developed ...

Computational protein design: Advancing biotechnology through in silico engineering.

Progress in biophysics and molecular biology
Currently, computational protein design (CPD) is a disruptive force in biotechnology, changing the paradigm by which proteins are engineered for many applications. In this article, the evolution of CPD has been tracked from its initial forays in the ...

AI-driven wearable sensors for postoperative monitoring in surgical patients: A systematic review.

Computers in biology and medicine
INTRODUCTION: Artificial intelligence used with wearable technology can be an important modality of treatment in the surgical patient management for recovery and reduction of complications such as hypoxia and infection, bleeding, and organ failure. T...

Wisdom of Crowds for Supporting the Safety Evaluation of Nanomaterials.

Environmental science & technology
The development of new approach methodologies (NAMs) to replace current testing for the safety assessment of engineered nanomaterials (ENMs) is hindered by the scarcity of validated experimental data for many ENMs. We introduce a framework to addres...

Overcoming Fluorescence Interference: "Planar Hotspot" Substrates for Vitamin B Detection with SERS.

Analytical chemistry
Surface-enhanced Raman scattering (SERS) has demonstrated remarkable potential for molecular detection due to its specificity. However, detecting fluorescent vitamin B molecules remains challenging due to fluorescence interference and weak Raman cros...

Graph Convolutional Neural Network-Enabled Frontier Molecular Orbital Prediction: A Case Study with Neurotransmitters and Antidepressants.

Journal of chemical information and modeling
With the advancement of artificial intelligence-embedded methodologies, their application to predict fundamental molecular properties has become increasingly prevalent. In this study, a graph convolutional neural network fingerprint-enabled artificia...