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Construction of mass spectra database and diagnosis algorithm for head and neck squamous cell carcinoma.

Oral oncology
OBJECTIVES: Intraoperative identification of tumor margins is essential to achieving complete tumor resection. However, the process of intraoperative pathological diagnosis involves cumbersome procedures, such as preparation of cryosections and micro...

Artificial neural networks to predict future bone mineral density and bone loss rate in Japanese postmenopausal women.

BMC research notes
OBJECTIVE: Predictions of the future bone mineral density and bone loss rate are important to tailor medicine for women with osteoporosis, because of the possible presence of personal risk factors affecting the severity of osteoporosis in the future....

A Pneumatic Tactile Sensor for Co-Operative Robots.

Sensors (Basel, Switzerland)
Tactile sensors of comprehensive functions are urgently needed for the advanced robot to co-exist and co-operate with human beings. Pneumatic tactile sensors based on air bladder possess some noticeable advantages for human-robot interaction applicat...
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Multi-task transfer learning deep convolutional neural network: application to computer-aided diagnosis of breast cancer on mammograms.

Physics in medicine and biology
Transfer learning in deep convolutional neural networks (DCNNs) is an important step in its application to medical imaging tasks. We propose a multi-task transfer learning DCNN with the aim of translating the 'knowledge' learned from non-medical imag...

Continuous betadine-bacitracin irrigation for vascular graft infections: A case series.

Journal of vascular nursing : official publication of the Society for Peripheral Vascular Nursing
The aim of the study was to conduct a retrospective chart review of patients who underwent betadine/bacitracin continuous irrigation (BBCI) for vascular graft infections (VGIs) to review its use as a treatment option. A retrospective chart review fro...
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Surface electromyography based muscle fatigue detection using high-resolution time-frequency methods and machine learning algorithms.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Surface electromyography (sEMG) based muscle fatigue research is widely preferred in sports science and occupational/rehabilitation studies due to its noninvasiveness. However, these signals are complex, multicomponent and h...

A survey of machine learning applications in HIV clinical research and care.

Computers in biology and medicine
A wealth of genetic, demographic, clinical and biomarker data is collected from routine clinical care of HIV patients and exists in the form of medical records available among the medical care and research communities. Machine learning (ML) methods h...
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A Machine Learning Ensemble Classifier for Early Prediction of Diabetic Retinopathy.

Journal of medical systems
The main complication of diabetes is Diabetic retinopathy (DR), retinal vascular disease and it leads to the blindness. Regular screening for early DR disease detection is considered as an intensive labor and resource oriented task. Therefore, automa...
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Drug target ontology to classify and integrate drug discovery data.

Journal of biomedical semantics
BACKGROUND: One of the most successful approaches to develop new small molecule therapeutics has been to start from a validated druggable protein target. However, only a small subset of potentially druggable targets has attracted significant research...

IHMC's experience competing in the Cybathlon compared to the DARPA robotics challenge.

Journal of neuroengineering and rehabilitation
BACKGROUND: As a research scientist, my work tends to focus on scientific investigations. Our group occasionally makes discoveries or has a successful demonstration, and sometimes we can even repeatedly demonstrate something working on the hardware. ...