AIMC Topic: Humans

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Label-free chimeric antigen receptor T-cell expression analysis using neural networks and statistical distribution modeling.

Biochemical and biophysical research communications
Chimeric antigen receptor T (CAR-T)-cell therapy has emerged as a promising treatment for hematologic malignancies. Accurate monitoring of CAR expression levels is essential for optimizing therapeutic efficacy and ensuring patient safety. Conventiona...

Lightweight wavelet convolutional network for guidewire segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Accurate guidewire segmentation is crucial for the success of vascular interventional procedures. Existing methods rely on a large number of parameters, making it difficult to balance performance and model size. In addition, the difficulty of collect...

Surgical augmented reality registration methods: A review from traditional to deep learning approaches.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Augmented Reality (AR) has gained significant interest within the research community in the past two decades. In surgery, AR overlays critical information directly onto the surgeon's visual field, thus enhancing situational awareness by providing nav...

DeepHybrid-CNN: A hybrid approach for pre-processing of skin cancer images.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
In the current technological era, digital imaging is ubiquitous, and it serves a crucial purpose in the realm of medical research. Skin cancer is one of the most common types of cancer, and its early diagnosis is essential to reduce the mortality rat...

Multi-modal machine learning classifier for idiopathic pulmonary fibrosis predicts mortality in interstitial lung diseases.

Respiratory investigation
BACKGROUND: Interstitial lung disease (ILD) prognostication incorporates clinical history, pulmonary function testing (PFTs), and chest CT pattern classifications. The machine learning classifier, Fibresolve, includes a model to help detect CT patter...

Analysis of spatiotemporal variation characteristics of atmospheric quality in China's city clusters from 2015 to 2023 and their socio-economic driving forces.

Journal of environmental management
With the rapid economic development in China, air quality issues have emerged as major challenges to the country's sustainable development. This study utilizes ground monitoring data from 1248 monitoring Stations across China, constructs a kilometer ...

From molecular chaos to precision medicine in the treatment of cardiac hypertrophy: A rational use of natural products by integrating artificial intelligence and multi-omics data.

Pharmacological research
Given the intricate and multifactorial molecular mechanisms underlying cardiac hypertrophy (CH), conventional pharmacological treatments often face significant challenges in achieving disease reversal. This review presents an innovative approach to t...

Integrating Physics-Based Simulations with Data-Driven Deep Learning Represents a Robust Strategy for Developing Inhibitors Targeting the Main Protease.

Journal of chemical information and modeling
The coronavirus main protease, essential for viral replication, is a well-validated antiviral target. Here, we present Deep-CovBoost, a computational pipeline integrating deep learning with free energy perturbation (FEP) simulations to guide the stru...

Microbes in Fermentation: Guardians or Threats to Food Safety?

Journal of agricultural and food chemistry
Fermentation plays a pivotal role in food preservation, with fermentative microbes enhancing food safety and stability. However, improper conditions can introduce risks. This perspective examines the dual role of microbes (the benefits of fermentativ...