AIMC Topic: Humans

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Navigating the future of oncology: the transformative role of microrobots in precision cancer therapy.

International journal of pharmaceutics
Systemic chemotherapy has long served as a cornerstone in the management of various malignancies. However, its inherent lack of specificity often leads to significant adverse effects, prompting the exploration of innovative nanomedicine strategies to...

A deep learning model for diagnosing autism using brain time series.

Neuroscience
The early identification of autism is especially critical as it can significantly enhance the effectiveness of intervention strategies. However, the recognition task remains challenging due to the subtle differences between ASD patients and neurotypi...

Magnetic Control Strategies of Microrobot Swarm for Biomedical Applications.

ACS biomaterials science & engineering
Microrobot swarms have attracted significant attention in the biomedical field due to their small size, flexibility, powerful functionality, and ability to collaborate to achieve complex tasks. They show great potential in targeted drug delivery and ...

Beyond unimodal analysis: Multimodal ensemble learning for enhanced assessment of atherosclerotic disease progression.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Atherosclerosis is a leading cardiovascular disease typified by fatty streaks accumulating within arterial walls, culminating in potential plaque ruptures and subsequent strokes. Existing clinical risk scores, such as systematic coronary risk estimat...

An AI-driven video based goniometer for knee joint range of motion (ROM) Assessment: Reliability and validity compared to traditional goniometry.

Computers in biology and medicine
BACKGROUND: Accurate measurement of knee joint range of motion (ROM) is crucial in clinical and rehabilitation settings. Traditional goniometry, which is widely used, requires calibration and is subject to human errors and measurement inconsistencies...

Immune checkpoint inhibitor-related pneumonitis: From guidelines to the front lines.

Respiratory investigation
Immune checkpoint inhibitors (ICIs) have changed cancer treatment, evoking durable responses in various cancers. However, their immune-mediated mechanisms can lead to unique toxicities known as immune-related adverse events (irAEs), among which ICI-r...

Predicting Subcutaneous Antibody Bioavailability Using Ensemble Protein Language Models.

Molecular pharmaceutics
Monoclonal antibodies are pivotal in modern therapeutics, yet predicting their subcutaneous bioavailability remains challenging due to the intricacies of the SC environment and the limitations of traditional experimental models. In this study, we int...

Bridging the predictive divide: A hybrid early warning system for scalable and real-time dengue surveillance in LMICs.

Acta tropica
The global resurgence of dengue presents an ongoing challenge for public health systems, particularly in low- and middle-income countries (LMICs) where conventional early warning systems (EWS) often suffer from reporting delays and under-detection. W...

Precision medicine in substance use disorders: Integrating behavioral, environmental, and biological insights.

Neuroscience and biobehavioral reviews
Substance use disorders (SUD) are chronic, relapsing conditions marked by high variability in treatment response and frequent relapse. This variability arises from complex interactions among behavioral, environmental, and biological factors unique to...

Machine Learning-Enhanced Calculation of Quantum-Classical Binding Free Energies.

Journal of chemical theory and computation
Binding free energies are key elements in understanding and predicting the strength of protein-drug interactions. While classical free energy simulations yield good results for many purely organic ligands, drugs, including transition metal atoms, oft...