AIMC Topic: Humans

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Data-Driven Sustainable Campaigns to Decipher Invasive Breast Cancer Features.

ACS biomaterials science & engineering
The intrinsic complexity of biological processes often hides the role of dynamic microenvironmental cues in the development of pathological states. Microphysiological systems (MPSs) are emerging technological platforms that model dynamics of tissue-...

MMF-MCP: A Deep Transfer Learning Model Based on Multimodal Information Fusion for Molecular Feature Extraction and Carcinogenicity Prediction.

Journal of chemical information and modeling
Molecular carcinogenicity is a crucial factor in the development of cancer, and accurate prediction of it is vital for cancer prevention, treatment, and drug development. In recent years, deep learning has been applied to predict molecular carcinogen...

Identifying patterns of high intraoperative blood pressure variability in noncardiac surgery using explainable machine learning: a retrospective cohort study.

Annals of medicine
BACKGROUND: High intraoperative blood pressure variability (HIBPV) is significantly associated with postoperative adverse complications. However, practical tools to characterize perioperative factors associated with HIBPV remain limited. This study a...

Ultra-early detection of S100B biomarkers using a nanophotonic biosensor with deep learning quantification: A clinical model based on EDAS patients.

Biosensors & bioelectronics
BACKGROUND: Ultra-early detection of brain injury biomarkers within the critical first hour post-injury remains a major clinical challenge in mild traumatic brain injury (mTBI) management. Conventional platforms (e.g., ELISA) suffer from limited sens...

Advances and challenges of Zeolitic imidazolate frameworks (ZIFs) for diagnosis and treatment of kidney diseases and diabetes.

European journal of medicinal chemistry
Zeolitic imidazolate frameworks (ZIFs) exhibit exceptional properties such as high sensitivity, specificity, and biocompatibility, positioning them as promising materials for diagnosing and treating kidney diseases and diabetes. In kidney disease man...

Nebulized liposomal drug delivery: a SWOT analysis in drug development.

International journal of pharmaceutics
This critical review provided a detailed strengths, weaknesses, opportunities, and threats (SWOT) analysis of nebulized liposomal formulations, focusing on the strengths and translational potential. The formulations have notable strengths, such as en...

Machine learning approach to DNA methylation and neuroimaging signatures as biomarkers for psychological resilience in young adults.

Behavioural brain research
Psychological resilience is influenced by both psychological and biological factors. However, the potential of using DNA methylation (DNAm) probes and brain imaging variables to predict psychological resilience remains unclear. This study aimed to in...

Transfer learning enables robust prediction of cellular toxicity from environmental micro- and nanoplastics.

Journal of hazardous materials
Micro- and nanoplastics (MNPs) are emerging pollutants that accumulate in ecosystems, food chains, and the human body, raising concerns about human health risks. However, understanding their toxicity remains challenging due to limited experimental da...

The importance of education and training in neuroendocrine neoplasms: challenges and opportunities for multidisciplinary management.

Cancer treatment reviews
Neuroendocrine neoplasms (NENs) exemplify the challenges and opportunities inherent in managing rare cancers. Their rarity, biological heterogeneity, and diagnostic complexity necessitate a highly structured and multidisciplinary approach to patient ...

Comparative analysis of the tumor microenvironment in primary CNS and testicular large B-cell lymphomas using digital image analysis and its implications for immunotherapy.

Human pathology
Primary large B-cell lymphomas of immune-privileged sites, including primary central nervous system lymphoma (PCNSL) and primary testicular lymphoma (PTL), exhibit distinct clinicopathologic features contributing to aggressive behavior and immune eva...