Biomedical and Health Sciences

Persistent viruses like influenza, HIV, Coronavirus exemplify the challenge of viral escape, significantly hindering the development of long-lasting vaccines and effective treatments.  This study leverages a Long Short-Term Memory (LSTM) based deep learning architecture to analyze an extensive dataset of over 3.1 million unique viral spike protein sequences, with SARS-CoV-2 serving as the primary example. Our model, Escape Elite Network(EEN) outperforms existing methods in detecting escape mutations across diverse datasets.

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This dataset comprises radar-acquired signals from 15 subjects walking on a treadmill, aimed at exploring methodologies for non-contact vital sign detection under conditions of significant body movement. Each subject participated in four experimental sessions, where radar data were collected using two Continuous Wave (CW) radars positioned to capture signals from the front and back of the subject. The data includes both raw and demodulated signals synchronized with ground-truth data obtained from a BioPac system.

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73 Views

This dataset contains still thermal frames from thirty patients undergoing awake craniotomy for brain tumor resection. The data were used as part of a study on automated craniotomy masking, where the portion of the craniotomy image which contans the brain is identified. The data contains manually generated gold-standard masks, as well as masks created with the proposed method in "Automated Craniotomy Masking for Intraoperative Thermography".

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64 Views

This dataset comprises high-resolution imaging data of biological porcine, clinically approved porcine and bovine, and chick embryo heart tissues. The dataset includes comprehensive anatomical and structural details, making it valuable for research in cardiovascular biology, tissue engineering, and computational modeling. The porcine and bovine heart samples are clinically approved, ensuring relevance for translational and preclinical studies. The chick embryo heart data provides insights into early cardiac development.

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81 Views

Supplementary video for the article "A Programmable CMOS DEP Chip for Cell Manipulation"

This video demonstrates the use of a CMOS DEP chip for particle manipulation, including particle patterning, concentration control, and single particle manipulation, all performed on the same chip and sample.

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391 Views

The ocular diseases rising from vascular endothelial growth factors (VEGF) is rising on an alarming rate. Mostly the complex retinal disorders are resulted from overexpression of VEGF. Common ocular complications such as age related macular edema (AMD) (over 196 million), diabetic retinopathy (DR) (over 103.12 million) and retinal vein occlusion can result to permanent vision loss if not treated early. Early treatment of such complications is inhibiting the VEGF signaling cascade via anti-VEGF therapy.

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119 Views

Seismocardiography (SCG) Signal Processing Dataset is a comprehensive collection of data samples to simulate the real-world application of the advanced technique in cardiac health monitoring. The dataset has been collected in different medical conditions of the patient in a real-time medical environment at varying timestamps. This dataset contains 1,000 samples collected over a period from 10 November 2023 to 10 January 2024, providing a robust timeframe in various conditions.

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431 Views

Maternal, sexual and reproductive healthcare (MSRH) are sensitive urgent public health issues that require timely trustworthy authentic medical responses. Unfortunately, curative healthcare systems of Low Middle-Income Countries (LMICs) are insufficiently responsive to such healthcare needs. Such needs vary among social groups often founded on social inequalities like income, gender and education.

Last Updated On: 
Sun, 06/30/2024 - 14:01

Chronic wounds pose an ongoing health concern globally, largely due to the prevalence of conditions such as diabetes and leprosy's disease. The standard method of monitoring these wounds involves visual inspection by healthcare professionals, a practice that could present challenges for patients in remote areas with inadequate transportation and healthcare infrastructure. This has led to the development of algorithms designed for the analysis and follow-up of wound images, which perform image-processing tasks such as classification, detection, and segmentation.

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899 Views

Data sources of MKG with structured medical knowledge database and unstructured scientific publications

Source Type

Name

Related researches

Structured medical knowledge database

KEGG

[20]

SIDER

[21]

ICD-10

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151 Views

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