The Evolution of Affordable Technologies in Liquid Biopsy Diagnostics: The Key to Clinical Implementation.

Cancer remains a leading cause of death worldwide, despite many advances in diagnosis and treatment. Precision medicine has been a key area of focus, with research providing insights and progress in helping to lower cancer mortality through better patient stratification for therapies and more precise diagnostic techniques. However, unequal access to cancer care is still a global concern, with many patients having limited access to diagnostic tests and treatment regimens.

Attitudes, beliefs, and knowledge regarding medical cannabis among healthcare students in the Republic of Cyprus: a cross-sectional descriptive correlational study.

Background: Although international research-based literature from the last 2 decades seems to favor the use of medical cannabis (MC), there is a lack of evidence concerning healthcare students' education on MC in the Republic of Cyprus and across the world. Therefore, this study explores healthcare students' attitudes, beliefs, and knowledge regarding the use of MC. We paid special attention to differences across specific sociodemographic (gender, age, and religion status) and educational (level of study and study field) characteristics.

Classification of nucleic acid amplification on ISFET arrays using spectrogram-based neural networks.

The COVID-19 pandemic has highlighted a significant research gap in the field of molecular diagnostics. This has brought forth the need for AI-based edge solutions that can provide quick diagnostic results whilst maintaining data privacy, security and high standards of sensitivity and specificity. This paper presents a novel proof-of-concept method to detect nucleic acid amplification using ISFET sensors and deep learning.

Automating the Design of Cancer Specific DNA Probes Using Computational Algorithms.

This paper introduces a novel Python script which automates the design process of cancer variant-specific DNA probes, based on the amplification method LAMP (Loop-Mediated Isothermal Amplification). With just an input of the DNA sequence and the mutation base location, the script outputs suggestions of two best fitting primer sets for a given target, together with an estimated working efficiency. The script also implements a feature of 'script training', using experimentally-validated primers as a benchmark for primer design optimisation.

Detection of Multiple Breast Cancer ESR1 Mutations on an ISFET Based Lab-on-Chip Platform.

ESR1 mutations are important biomarkers in metastatic breast cancer. Specifically, p.E380Q and p.

Pilot exploration of post-traumatic stress symptoms in intensive care unit survivors in Cyprus.

Background: Approximately, 20% of intensive care unit (ICU) survivors develop post-traumatic stress disorder (PTSD) symptoms. Although Davidson Trauma Scale (DTS) provides a comprehensive approach to PSTD symptoms, there is no evidence on DTS-I-M use in ICU survivors.

Aims And Objectives: To validate the modified intensity Davidson Trauma Scale (DTS-I-M) (wherein the frequency and severity subscales are combined to express symptoms intensity) in a convenience sample of ICU survivors in Cyprus, and to explore the prevalence of PTSD symptoms and related predictors.

A novel hotspot specific isothermal amplification method for detection of the common PIK3CA p.H1047R breast cancer mutation.

Breast cancer (BC) is a common cancer in women worldwide. Despite advances in treatment, up to 30% of women eventually relapse and die of metastatic breast cancer. Liquid biopsy analysis of circulating cell-free DNA fragments in the patients' blood can monitor clonality and evolving mutations as a surrogate for tumour biopsy.