AIMC Topic: Artificial Intelligence

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Digestibility, microbiome dynamics, and biogas generation in anaerobic digestion with integrated additives and artificial intelligence.

Environmental research
Addition of abiotic and biotic factors as single or combined in anaerobic digestion (AD) improves the substrate hydrolysis, microbial nexus, and enzymatic activity. The effect of a single abiotic (salinity, micronutrients, and conductive material) or...

Multiphysics modelling enhanced by imaging and artificial intelligence for personalised cancer nanomedicine: Foundations for clinical digital twins.

Journal of controlled release : official journal of the Controlled Release Society
Nano-sized drug delivery systems have emerged as a more effective, versatile means for improving cancer treatment. However, the complexity of drug delivery to cancer involves intricate interactions between physiological and physicochemical processes ...

AI-Designed Molecules in Drug Discovery, Structural Novelty Evaluation, and Implications.

Journal of chemical information and modeling
Achieving structural novelty in drug discovery remains a critical challenge. Artificial intelligence (AI) has demonstrated remarkable potential in deciphering the complex relationships between molecular structures and activities from vast amounts of ...

Integrating artificial intelligence and physiologically based pharmacokinetic modeling to predict in vitro and in vivo fate of amorphous solid dispersions.

Journal of controlled release : official journal of the Controlled Release Society
Amorphous solid dispersions (ASDs) have emerged as a pivotal strategy in enhancing the dissolution profiles of poorly water-soluble drugs. Although the apparent dissolution rate (both molecular and colloidal drugs) within ASDs has been determined in ...

JointDiffusion: Joint representation learning for generative, predictive, and self-explainable AI in healthcare.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Joint machine learning models that allow synthesizing and classifying data often offer uneven performance between those tasks or are unstable to train. In this work, we depart from a set of empirical observations that indicate the usefulness of inter...

Generative Artificial Intelligence (AI) to Uncover Insights From Breast Cancer Patients' Perceptions to Mindfulness-Based Stress Reduction (MBSR) Interventions.

Holistic nursing practice
The study's central objective is to harness the power of generative Artificial Intelligence (AI), in particular based on Large Language Models, as a valuable resource for delving deeper into the insights offered by patients with breast cancer (BC) wh...

Applications of artificial intelligence and urban innovation performance: A quasi-natural experiment based on the pilot zones for the innovative application of artificial intelligence.

PloS one
Innovation is the core driving force behind the ability to cope with risks and enhance urban competitiveness. Against the backdrop of frequent global crises and intensified competition, improving urban innovation performance is important. This study ...

Current trends and perspectives on the roles of multi-analytical methodologies in spirit authentication: Perspectives, challenges, and opportunities.

Food chemistry
The persistent occurrence of economically motivated food frauds and adulterations, causing substantial economic losses to enterprises and endangering consumers interests, critically impedes the sustainable development of the food industry. Spirits, c...

Leveraging BERT for embedding ICD codes from large scale cardiovascular EMR data to understand patient diagnostic patterns.

BMC medical informatics and decision making
The integration of electronic medical records (EMRs) with artificial intelligence (AI) is enhancing medical research, particularly in real-world evidence (RWE) studies. Extracting insights from coded medical data, such as ICD-10 codes, is essential f...