The article focuses on the concepts of Cell Image Segmentation (CIS) and the gradual introduction of cell counting. Motivated by the rapid development of Machine learning (ML) methods, which is carried out in this investigation. ML is evolving ...

Currently, prosthetic devices have been significantly improved thanks to highly biocompatible metallic alloys, such as titanium alloys, and owing to the use of antibiotic treatments to allow higher acceptance of the implant. However, risks of ...

The rapid development of Internet of Things (IoT) technology has enabled the emergence of the Internet of Medical Things (IoMT), especially in body area network applications. To protect sensitive medical data, it is essential to ensure privacy ...

• Novel self-attention enriching mechanism for biomedical question answering.
• New stat-of-the-art results for factoid biomedical question answering.
• Correlation between transformer attention scores and final prediction is validated.

The task of biomedical question answering is a subtask of the more general question answering task, that is concerned only with biomedical questions. The current state-of-the-art models in this task like BioBERT, and BioM-ELECTRA are all based on ...

A large number of biomedical studies have presented the role of specific biomolecules (e.g., genes, miRNAs, and lncRNAs) in the occurrence and development of esophageal cancer, such as promoting and inhibiting the occurrence of esophageal cancer, ...

Orthopedic implant identification is an important and necessary step prior to performing revision surgery of different joints. The inability to identify an implant can lead to significant surgical difficulties with consequent unfavorable outcomes. ...

Disruptive research that reveals an important innovation in science can reshape existing pathways. This paper studies the relationship between the prior knowledge the research builds upon and disruption in science. To measure the disruption of an ...$$

Named entity recognition is a key task in text mining. In the biomedical field, entity recognition focuses on extracting key information from large-scale biomedical texts for the downstream information extraction task. Biomedical literature ...

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It is essential to have a fast, reliable, and energy-efficient connection between wireless sensor networks (WSNs). Control specifications, networking layers, media access control, and physical layers should be optimised or co-designed. Health insurance ...

The new and integrated technologies have changed the traditional systems and services with new and smart automation systems. Smart healthcare system is one of the example of patients monitoring systems with more smart and cost effective services ...

Nowadays, cataracts are one of the prevalent eye conditions that may lead to vision loss. Precise and prompt recognition of the cataract is the best method to prevent/treat it in early stages. Artificial intelligence-based cataract detection ...

In this study, the design of a direct down-conversion, double-balanced Gilbert Mixer at 432 MHz is presented. The proposed circuit achieves a 13.4 dB double-sideband noise figure with an associated flicker corner frequency of 250 kHz. The ...${}^{\mathrm{}}$

An early diagnosis together with an accurate disease progression monitoring of multiple sclerosis is an important component of successful disease management. Prior studies have established that multiple sclerosis ...

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• Multiple sclerosis affects speech and voice in some speakers.
• Automated speech ...

Nuclear pleomorphism is an early breast cancer (BCa) indicator that assesses any nuclear size, shape or chromatin appearance variations. Research involving the ranking by several experts shows that kappa coefficient ranges from 0.3(low) to 0.5 (...

For the biomedical transceiver, the data transmission is often asymmetric. At the downlink, the transceiver only needs to receive a simple command to control the operation of the external device, and the receiving data rate is low, about hundreds of Kb/s. ...

In the process of comparative analysis of data functions in typical biomedical colleges, it is necessary to use metadata standards to complete the organization and processing of biomedical scientific data. At the same time, it is necessary to explore the ...

Biomedical research on brucellosis has been a hot topic of discussion around the world. In the face of the complex literature, how to obtain the relevant research knowledge of brucellosis by biomedical experts has been a problem that researchers ...

Pretraining large neural language models, such as BERT, has led to impressive gains on many natural language processing (NLP) tasks. However, most pretraining efforts focus on general domain corpora, such as newswire and Web. A prevailing assumption is ...

This paper studies the effect of the order of depth of mention on nested named entity recognition (NER) models. NER is an essential task in the extraction of biomedical information, and nested entities are common since medical concepts can ...

With the rapid growth of biomedical literatures, there are a large amount of bio-text data to be exploited. A wealth of knowledge concerning diseases associated with genes is present in those bio-text which is important for studies like drug-target ...