AIMC Topic: Humans

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Inflammatory bowel diseases: pathological mechanisms and therapeutic perspectives.

Molecular biomedicine
Inflammatory bowel diseaseĀ (IBD) is a heterogeneous group of disorders characterized primarily by chronic relapsing intestinal inflammation, encompassing Crohn's diseaseĀ (CD) and ulcerative colitisĀ (UC), affecting individuals across age groups with v...

Hybrid additive manufacturing and data-guided design optimization for graded anterior cruciate ligament engineering.

Biomedical materials (Bristol, England)
Interface tissues, such as the enthesis connecting ligaments to bone, present multiphasic architectures with continuous gradients in structure, composition, and mechanics. Engineering such complex transitions remains a major challenge in biofabricati...

A novel adaptive CNN-LSTM fusion network for electrocardiogram diagnosis.

Physiological measurement
Cardiovascular disease (CVD) causes severe global health threat, and electrocardiogram (ECG) is crucial for early CVD diagnosis. Recently, two popular deep learning methods, that is, convolutional neural network (CNN) and long short-term memory (LSTM...

Bridging Model and Experiment in Systems Neuroscience with Cleo: The Closed-Loop, Electrophysiology, and Optophysiology Simulation Testbed.

The Journal of neuroscience : the official journal of the Society for Neuroscience
Systems neuroscience has experienced an explosion of new tools for reading and writing neural activity, enabling exciting new experiments (e.g., all-optical interrogation, closed-loop control) for interrogating neural circuits. Unfortunately, these a...

Deepening ideas vs. exploring new ones: AI strategy effects in human-AI creative collaboration.

PloS one
As artificial intelligence (AI) increasingly participates in creative processes, designing effective human-AI collaboration is crucial. This study addresses a fundamental question: Should an AI partner prioritize deepening existing ideas (exploitatio...

Unbiased inference for echocardiogram urgency prediction using double machine learning.

PloS one
The increased utilization of echocardiography in clinical practice has witnessed a substantial rise, underscoring its pivotal role as a diagnostic tool for various cardiovascular conditions. However, due to the relative scarcity of echocardiography t...

Diagnostic performance of eNose technology in detecting colorectal cancer recurrence: A prospective evaluation.

PloS one
INTRODUCTION: After curative treatment for colorectal cancer (CRC), there is a 15% risk of recurrence. Early detection of an asymptomatic recurrence may lead to curative treatment options. To date, follow-up strategies do not have optimal sensitivity...

Applications of machine learning and natural language processing to neurocognitive outcomes in posttreatment cancer survivors: a scoping review.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer
PURPOSE: This scoping review explores how machine learning (ML) and natural language processing (NLP) are used to detect, characterize, and predict neurocognitive symptoms in cancer survivors across age groups. The review had two goals: (1) to compar...

Utilizing AI CAD for early pandemic screening in chest radiographs.

Scientific reports
To investigate the potential application of existing artificial intelligence (AI) software in diagnosing COVID-19 (coronavirus disease 2019) and other pneumonia-related radiographic findings with the unprecedented challenge by COVID-19 pandemic, leve...

Deep learning guided design of protease substrates.

Nature communications
Proteases, enzymes that play critical roles in health and disease, exert their function through the cleavage of peptide bonds. Identifying substrates that are efficiently and selectively cleaved by target proteases is essential for studying protease ...