AIMC Topic: Female

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Exploring microRNA Regulation of Cancer with Context-Aware Deep Cancer Classifier.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
BACKGROUND: MicroRNAs (miRNAs) are small, non-coding RNA that regulate gene expression through post-transcriptional silencing. Differential expression observed in miRNAs, combined with advancements in deep learning (DL), have the potential to improve...

Breast mass detection and diagnosis using fused features with density.

Journal of X-ray science and technology
BACKGROUND: The morbidity of breast cancer has been increased in these years and ranked the first of all female diseases. Computer-aided diagnosis techniques for mammograms can help radiologists find early breast lesions. In mammograms, the degree of...

Computer-Assisted Wound Assessment and Care Education Program in Registered Nurses: Use of an Interactive Online Program by 418 Registered Nurses.

Journal of wound, ostomy, and continence nursing : official publication of The Wound, Ostomy and Continence Nurses Society
PURPOSE: The purpose of this descriptive study was to evaluate use of a previously validated, online, interactive wound assessment and wound care clinical pathway in a group of RNs. Specific aims were to (a) evaluate the proportions of correct, parti...

Comparative Assessment of Two Robot-Assisted Therapies for the Upper Extremity in People With Chronic Stroke.

The American journal of occupational therapy : official publication of the American Occupational Therapy Association
OBJECTIVE: We investigated the effects on motor and daily function of robot-assisted therapies in people with chronic stroke using the Bi-Manu-Track (BMT) and InMotion 3.0 (IMT) compared with control treatment (CT).

Precision immunoprofiling to reveal diagnostic signatures for latent tuberculosis infection and reactivation risk stratification.

Integrative biology : quantitative biosciences from nano to macro
Latent tuberculosis infection (LTBI) is estimated in nearly one quarter of the world's population, and of those immunocompetent and infected ~10% will proceed to active tuberculosis (TB). Current diagnostics cannot definitively identify LTBI and prov...

Talker change detection: A comparison of human and machine performance.

The Journal of the Acoustical Society of America
The automatic analysis of conversational audio remains difficult, in part, due to the presence of multiple talkers speaking in turns, often with significant intonation variations and overlapping speech. The majority of prior work on psychoacoustic sp...

Vision-referential speech enhancement of an audio signal using mask information captured as visual data.

The Journal of the Acoustical Society of America
This paper describes a vision-referential speech enhancement of an audio signal using mask information captured as visual data. Smartphones and tablet devices have become popular in recent years. Most of them not only have a microphone but also a cam...

Constructing a Risk Prediction Model for Lung Cancer Recurrence by Using Gene Function Clustering and Machine Learning.

Combinatorial chemistry & high throughput screening
OBJECTIVE: A significant proportion of patients with early non-small cell lung cancer (NSCLC) can be cured by surgery. The distant metastasis of tumors is the most common cause of treatment failure. Precisely predicting the likelihood that a patient ...

Better resource utilization and quality of care for cervical cancer screening in low-resourced districts using an internet-based expert system.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Screening tools are critical in the early prevention of cervical cancers. Acetic-acid based colposcopy test provides an affordable solution but is often challenged by the lack of experienced doctors in under-developed districts.