Polarization-Singular Approach to Imaging Mueller-Matrix Polarimetry in the Differential Diagnosis of Histological Sections of Biopsy of Tumors of the Uterus and Prostate

The possibilities of the diagnostic use of the singular approach of the distributions of the number of characteristic values of the MMI is effective for differentiating the polarization properties of histological biopsy sections of benign and malignant tumours of the uterus and prostate. Within the framework of evidence-based medicine, the sensitivity, specificity and accuracy of the azimuthal-invariant express (∼15 min) method of Mueller-matrix mapping of polarization-singular states in the differential diagnosis of uterine myoma and adenocarcinoma, as well as adenocarcinoma of the prostate with varying degrees of differentiation have been determined.

Detection of Tuberculosis Disease Using Image Processing Technique

Machine learning is a branch of computing that studies the design of algorithms with the ability to “learn.” A subfield would be deep learning, which is a series of techniques that make use of deep artificial neural networks, that is, with more than one hidden layer, to computationally imitate the structure and functioning of the human organ and related diseases. The analysis of health interest images with deep learning is not limited to clinical diagnostic use. It can also, for example, facilitate surveillance of disease-carrying objects. There are other examples of recent efforts to use deep learning as a tool for diagnostic use. Chest X-rays are one approach to identify tuberculosis; by analysing the X-ray, you can spot any abnormalities. A method for detecting the presence of tuberculosis in medical X-ray imaging is provided in this paper. Three different classification methods were used to evaluate the method: support vector machines, logistic regression, and nearest neighbors. Cross-validation and the formation of training and test sets were the two classification scenarios used. The acquired results allow us to assess the method’s practicality.

Creating a Diagnostic Assistance System for Diseases in Kampo Medicine

The aim of this study was to propose a method to assess images of the tongue captured using a polarized light camera for diagnostic use in Kampo medicine. Glossy and non-glossy images of the tongue were captured simultaneously using a polarizing camera and a polarizing plate. Data augmentation was performed by modulating the color and gloss, resulting in an increase in the number of images from 11 to 275. To create a data set, the values for which diseases were evaluated by Kampo doctors for all tongue images were taken as the correct values and combined with the features extracted from the tongue images. Using this data set, we constructed a diagnostic support module to evaluate diseases. The resulting mean absolute error of the assessment was 0.44 for qi deficiency, 0.42 for blood deficiency, 0.33 for blood stagnation, 0.36 for yin deficiency, and 0.55 for fluid stagnation, suggesting that the diagnostic assistance module was accurate, and our proposed learning and data augmentation methods were effective.

The effects of performance measurement system uses on organizational ambidexterity and firm performance

PurposeThis study aims to investigate how dynamic tensions between performance measurement system (PMS) uses enable organizations to achieve both exploitation and exploration and enhance firm performance.Design/methodology/approachThe authors collected survey data on 153 Italian companies. Scales for each construct were validated through an exploratory factor analysis. Data on firm performance were cross-validated by using lagged accounting data. The authors tested our hypotheses using hierarchical ordinary least squares regressions, together with bootstrapping procedures for the test on mediation.FindingsA diagnostic use of PMS has a positive association with both exploitation – e.g. reductions in total costs and lead times – and exploration, e.g. introduction of new products and extension of product ranges. The dynamic tension created by a joint diagnostic and interactive use has the strongest association with organizational ambidexterity, measured as the multiplicative interaction between exploration and exploitation.Practical implicationsIf an organization or business unit is mainly pursuing exploitative goals, a mainly diagnostic use of PMS would be most suitable. If goals are both exploitative and explorative, a mix of diagnostic and interactive uses would be most effective.Originality/valueThis research helps reconcile conflicting views in the literature. The diagnostic use of PMS, far from acting as a “negative force,” appears to be necessary to guide opportunity search and to establish an appropriate scope for exploration-related activities. The authors’ focus on the uses of PMSs shows that ambidexterity is achieved through managerial capability, rather than just through the introduction of systems and structures.

Update on MicroRNA-based Treatment Strategies

The family of RNAs comprises several members, protein coding mRNAs and a larger group of non-coding RNAs, which include small, approximately 21-25 nucleotides long microRNAs (miRNAs). In addition to an evolving diagnostic use of RNAs, RNA-based drugs are emerging very rapidly in medicine, which is not only -but currently very prominently visible- due to the impressive success of the first-in-class Covid-19 vaccines such as Comirnaty and Moderna (marketed by the companies Biontech/Pfizer and Moderna, respectively). Although administration of RNA-based drugs comes along with several technical obstacles including delivery approaches, the technology is experiencing a breakthrough and technical and conceptual hurdles that may still remain are very likely to be overcome within the near future. It is therefore highly likely that RNA-based pharmacotherapies may revolutionize medicine by improving vaccination concepts but also by providing novel drugs to treat many other conditions like cancer, metabolic- and degenerative diseases and beyond. It is fascinating to witness the rise of such milestones in medicine and is tempting to elaborate which additional accomplishments can be made using this technology towards personalized medicine comprising diagnostic and therapeutic aspects as well as individual drug design.Although the most recent success with mRNA-based and therefore protein coding vaccines currently takes center stage in media and people’s life, other types of RNAs that are less prominent to the public, like non-coding miRNAs, also develop very successfully towards diagnostic and therapeutic purposes. While the diagnostic use of miRNAs was reviewed in another article in this issue (see article from Hackl et al., this issue), this brief review will provide an update on the emerging therapeutic implications of miRNAs. Despite the fact that no miRNA-based drug has yet reached clinical approval, several compounds are in pre-clinical and clinical development for the treatment of various diseases and great progress has been made during the recent years, which also facilitated the establishment of several innovative biotech companies.Several obstacles associated with this novel approach including off-target effects, tissue specificity and delivery systems exist. However, important improvements have already been made and will continue to be made. It can therefore be assumed that treatments using this class of RNA will also further progress and stimulate additional stakeholders to enter the field to develop novel drug candidates as first-in-class medicinal products to address highly unmet clinical needs. This technology is still at its infancy given that miRNAs were uncovered just about 20 years ago but the conditions are promising for the development of next generation miRNA-based drugs.

P–011 Automated sperm morphology assessment using artificial intelligence technology

Study question Can LensHooke X1 PRO semen analyzer be used to evaluate sperm morphology in men with infertility? Summary answer Morphology results generated by X1 PRO are highly reliable when normal sperm forms are ≥4% and therefore they can be reported in such cases . What is known already Most laboratories rely on manual evaluation of sperm morphology smears, which is a time-consuming procedure and its results are subjected to a relatively high variability. However, in recent years the computer-assisted semen analyzers are being increasingly used to evaluate sperm morphology. The X1 PRO semen quality analyzer was designed for in vitro diagnostic use to analyze sperm concentration, total, progressive and non-progressive motility as well as sperm morphology based on WHO 5th edition criteria. Evaluation of sperm morphology using X1 PRO based on AIOM (Artificial Intelligence Optical Microscopic)-based technology requires no fixation steps or staining unlike the manual method. Study design, size, duration This cross-sectional study used 31 semen samples from 8 normozoospermic healthy volunteers and 5 infertile men with a minimum abstinence period between 2 - 3 days. While the 8 healthy semen donors produced a total of 26 ejaculates, which were split into 88 aliquots, the 5 infertile patients produced 5 ejaculates that were split into 13 aliquots. Participants/materials, setting, methods A total of 101 aliquots were prepared from the native semen samples either by dilution or concentration using seminal plasma of the respective donors. Automated semen analysis was performed by the X1 PRO semen analyzer and the results of sperm morphology were compared with manual morphology results using Diff-Quik staining. Statistical analysis was carried out to calculate the positive predictive value (PPV) and negative predictive value (NPV) of X1 PRO semen analyzer. Main results and the role of chance The X1 PRO sperm morphology results show a weak non-significant (P = 0.2441) correlation (r = 0.119) with the manual results. However, X1 PRO demonstrated a high PPV (97.7%) and a low NPV (9.1%) for correct assessment of sperm morphology (≥4%) when compared to manual results. Due to its high PPV, laboratories can report the morphology results generated by X1 PRO in all such cases when normal sperm forms are ≥4%. However, a manual evaluation is necessary in patients with abnormal morphology (<4%). Limitations, reasons for caution One of the limitation of this study is that X1 PRO morphology values did not correlate with manual results. The low NPV seen in our study is due to the inclusion of very few samples with abnormal sperm forms (<4%) in the analysis. Wider implications of the findings: The X1 PRO’s combination of speed, ease of use, accuracy and portability makes it a good choice of device for small medical offices to large IVF centers. High PPV of X1 PRO allows it to correctly identify normal sperm forms for diagnostic use. Trial registration number 18–771