Continuous Hands-off Control by CLOT Norm Minimization

In this paper, we consider hands-off control via minimization of the C LOT (Combined L -One and Two) norm. The maximum hands-off control is the L 0 -optimal (or the sparsest) control among all feasible controls that are bounded b y a specified value and transfer the state from a given initial state to the origin within a fixed time dura tion. In general, the maximum hands-off control is a bang-off-bang control taking value s of ± 1 and 0. For many real applications, such discontinuity in the control is not desirable. To ob tain a continuous but still relatively sparse control, we propose to use the CLOT norm, a conv ex combination of L 1 and L 2 norms. We show by numerical simulation that the CLOT control is con tinuous and much sparser (i.e. has longer time duration on which the control takes 0) than the conventional EN (elastic net) control, which is a convex combination of L 1 and squared L 2 norms

Forecasting Chronic Kidney Disease Using Ensemble Machine Learning Technique

India is a rapidly expanding nation on a global scale. Chronic kidney disease (CKD) is a prevalent health problem internationally, and advance perception of this disease can aid prevent its stream. This research proposes an ensemble learning technique that combines three different algorithms, Logistic Regression, Gradient Boosting and Random Forest for the prediction of CKD. The performance of each algorithm was judged based on Root Mean Square Error (RMSE) and Mean Square Error (MSE) as performance metrics, and the predictions of each algorithm were combined using an ensemble learning technique. The dataset used for the study contained data on 400 individuals with 24 different features, which was pre-processed by removing missing values and normalizing the data. The combined algorithm showed a better performance with an RMSE of 0.2111 and an MSE of 0.0446, compared to individual algorithms. The proposed ensemble learning technique can be utilized as a divining for advance perception of CKD. The outcomes of the work reveal the effectiveness of the technique and its potential for improving patient outcomes by preventing the progression of CKD. Additionally, the ensemble learning technique can be applied to other predictive tasks to improve performance, indicating its broader applicability

The Prostate cancer–Exercise and Metformin randomised controlled feasibility Trial (Pre-EMpT) in men following active surveillance, radical prostatectomy and radiotherapy

Background: Moderate to vigorous physical activity and metformin are associated in epidemiological studies with reduced biochemical recurrence and mortality in men with prostate cancer. This study assessed the feasibility of a home-based physical activity and/or metformin intervention in men with non-metastatic prostate cancer following radical treatment (surgery or radiotherapy) or active surveillance. Methods: A 2 × 2 factorial design randomised men into one of four groups for 6 months: (1) physical activity (defined as brisk walking ≥ 30 min for ≥ 5 days per week, aiming for ≥ 10,000 steps a day); (2) metformin (one 500 mg slow-release tablet daily); (3) physical activity and metformin; and (4) control. Men were recruited from a single tertiary referral centre in the South West of England, UK, (September 2018–March 2020 which terminated slightly early due to the COVID-19 pandemic). Co-primary outcomes were rates of randomisation and adherence which was defined as men brisk walking ≥30 minutes on at least 5 days with 10,000 steps daily (measured over one week 6-months after randomisation) with ≥ 60% adherence to metformin between 3- and 6 months post-randomisation using returned pill count. Secondary outcomes included self-reported adverse events and physical activity, feasibility of wearing activity monitors and questionnaire completion. Results: In total, 295 men were eligible and 110 were randomised (37.3%, 95% confidence interval [CI] 31.8 to 43.1). Adherence to the physical activity and metformin interventions was 46.9% (95% CI 32.5 to 62.0) and 47.1% (95% CI 32.9 to 61.5) respectively. Adherence was > 60% for both the physical activity and metformin interventions on a complete case basis. Adverse events were infrequent (n = 7) across randomised groups. Completion of self-reported measures of physical activity, urinary incontinence, sexual function, quality of life and stages of change was over 80%. Step counts were not higher in men wearing activity monitors that alerted them about their step counts and sedentary behaviour. Retention over 6 months was 91.3% (95% CI 84.2 to 96.0). Follow up and intervention prompts were impacted by the pandemic. Conclusion: Home-based physical activity and metformin interventions show some promise for men with prostate cancer following radical treatment or active surveillance. Trial registration: ISRCTN, ISRCTN13543667. Registered 2 August 2018, https://www.isrctn.com/ISRCTN1354366

Real world, multicentre patterns of treatment and survival in metastatic renal cell carcinoma with the UK Renal Oncology Collaborative (UK ROC): Is it time to look favourably on first-line immunotherapy containing combinations in all IMDC groups?

\ua9 2024 The Author(s). Cancer Medicine published by John Wiley & Sons Ltd.Introduction: Clinical trials show improved progression-free survival (PFS) and overall survival (OS) in first-line metastatic renal cell carcinoma (mRCC) patients with immunotherapy containing systemic anti-cancer therapies (SACT). However, in the favourable international metastatic renal cell cancer database consortium (IMDC) group there is no trial evidence for OS benefit despite clear PFS improvement when comparing anti-VEGF tyrosine kinase inhibitor (TKI) monotherapy and (immunotherapy and TKI) IO/TKI combinations. Objective: To assess the impact of first-line SACT choice on the clinical outcomes of PFS and OS in mRCC. To evaluate this impact of initial SACT for allcomers and the favourable IMDC group. Methods: A multicentre retrospective review of patients who started SACT for mRCC (01/01/2018–30/06/2021) at 17 UK NHS trusts. Patient demographics and IMDC group were analysed. Survival data were compared using Kaplan–Meier curves, and the statistical significance of differences in outcome between the groups was assessed with the log-rank test. Univariable and multivariable Cox proportional hazard modelling estimate the hazard ratios (HRs) for survival outcomes associated with IMDC and treatment subtype. Results: One thousand three hundred and nineteen patients were identified with a median age of 64. 294 (22.3%), 695 (52.7%) and 321 (24.3%) were IMDC group favourable, intermediate and poor, respectively. 311 (23.6%), 197 (14.9%) and 778 (59%) patients received checkpoint inhibitor and anti-CTLA4 monoclonal antibody (IO/IO), IO/TKI and TKI first-line SACT across all IMDC groups. Significant PFS improvement favouring IO/TKI versus TKI was demonstrated in allcomers HR = 0.61. In the favourable risk group, Log rank testing demonstrated a significant benefit for IO/TKI over TKI for PFS (HR = 0.60, 95% CI [0.39, 0.91]) and OS (HR = 0.42, 95% CI [0.18, 0.99]). Conclusion: In this real-world evidence cohort, we have shown OS and PFS benefit with IO/TKI versus TKI in the favourable IMDC risk group. This has not been previously reported from trial outcomes and would support use of front-line IO/TKI in mRCC favourable risk patients

Novel insights on diagnosis, cause and treatment of diabetic neuropathy: Focus on painful diabetic neuropathy

Diabetic neuropathy is common, under or misdiagnosed, and causes substantial morbidity with increased mortality. Defining and developing sensitive diagnostic tests for diabetic neuropathy is not only key to implementing earlier interventions but also to ensure that the most appropriate endpoints are employed in clinical intervention trials. This is critical as many potentially effective therapies may never progress to the clinic, not due to a lack of therapeutic effect, but because the endpoints were not sufficiently sensitive or robust to identify benefit. Apart from improving glycaemic control, there is no licensed treatment for diabetic neuropathy, however, a number of pathogenetic pathways remain under active study. Painful diabetic neuropathy is a cause of considerable morbidity and whilst many pharmacological and nonpharmacological interventions are currently used, only two are approved by the US Food and Drug Administration. We address the important issue of the ‘placebo effect’ and also consider potential new pharmacological therapies as well as nonpharmacological interventions in the treatment of painful diabetic neuropathy

Operational classification of cutaneous squamous cell carcinomas based on unsupervised clustering of real cases by experts

Background: There is currently no staging system for cutaneous squamous cell carcinoma (cSCC) that is adapted to decision-making and universally used. Experts have unconscious ability to simplify the heterogeneity of clinical situations into a few relevant groups to drive their therapeutic decisions. Therefore, we have used unsupervised clustering of real cases by experts to generate an operational classification of cSCCs, an approach that was successful for basal cell carcinomas. Objective: To generate a consensual and operational classification of cSCCs. Method: Unsupervised independent clustering of 248 cases of cSCCs considered difficult-to-treat. Eighteen international experts from different specialties classified these cases into what they considered homogeneous clusters useful for management, each with freedom regarding clustering criteria. Convergences and divergences between clustering were analysed using a similarity matrix, the K-mean approach and the average silhouette method. Mathematical modelling was used to look for the best consensual clustering. The operability of the derived classification was validated on 23 new practitioners. Results: Despite the high heterogeneity of the clinical cases, a mathematical consensus was observed. It was best represented by a partition into five clusters, which appeared a posteriori to describe different clinical scenarios. Applicability of this classification was shown by a good concordance (94%) in the allocation of cases between the new practitioners and the 18 experts. An additional group of easy-to-treat cSCC was included, resulting in a six-group final classification: easy-to-treat/complex to treat due to tumour and/or patient characteristics/multiple/locally advanced/regional disease/visceral metastases. Conclusion: Given the methodology based on the convergence of unguided intuitive clustering of cases by experts, this new classification is relevant for clinical practice. It does not compete with staging systems, but they may complement each other, whether the objective is to select the best therapeutic approach in tumour boards or to design homogeneous groups for trials

Operational classification of cutaneous squamous cell carcinomas based on unsupervised clustering of real cases by experts.

BACKGROUND: There is currently no staging system for cutaneous squamous cell carcinoma (cSCC) that is adapted to decision-making and universally used. Experts have unconscious ability to simplify the heterogeneity of clinical situations into a few relevant groups to drive their therapeutic decisions. Therefore, we have used unsupervised clustering of real cases by experts to generate an operational classification of cSCCs, an approach that was successful for basal cell carcinomas. OBJECTIVES: To generate a consensual and operational classification of cSCCs. METHODS: Unsupervised independent clustering of 248 cases of cSCCs considered difficult-to-treat. Eighteen international experts from different specialties classified these cases into what they considered homogeneous clusters useful for management, each with freedom regarding clustering criteria. Convergences and divergences between clustering were analysed using a similarity matrix, the K-mean approach and the average silhouette method. Mathematical modelling was used to look for the best consensual clustering. The operability of the derived classification was validated on 23 new practitioners. RESULTS: Despite the high heterogeneity of the clinical cases, a mathematical consensus was observed. It was best represented by a partition into five clusters, which appeared a posteriori to describe different clinical scenarios. Applicability of this classification was shown by a good concordance (94%) in the allocation of cases between the new practitioners and the 18 experts. An additional group of easy-to-treat cSCC was included, resulting in a six-group final classification: easy-to-treat/complex to treat due to tumour and/or patient characteristics/multiple/locally advanced/regional disease/visceral metastases. CONCLUSIONS: Given the methodology based on the convergence of unguided intuitive clustering of cases by experts, this new classification is relevant for clinical practice. It does not compete with staging systems, but they may complement each other, whether the objective is to select the best therapeutic approach in tumour boards or to design homogeneous groups for trials

Two-dimensional electrophoretic comparison of metastatic and non-metastatic human breast tumors using in vitro cultured epithelial cells derived from the cancer tissues

<p>Abstract</p> <p>Background</p> <p>Breast carcinomas represent a heterogeneous group of tumors diverse in behavior, outcome, and response to therapy. Identification of proteins resembling the tumor biology can improve the diagnosis, prediction, treatment selection, and targeting of therapy. Since the beginning of the post-genomic era, the focus of molecular biology gradually moved from genomes to proteins and proteomes and to their functionality. Proteomics can potentially capture dynamic changes in protein expression integrating both genetic and epigenetic influences.</p> <p>Methods</p> <p>We prepared primary cultures of epithelial cells from 23 breast cancer tissue samples and performed comparative proteomic analysis. Seven patients developed distant metastases within three-year follow-up. These samples were included into a metastase-positive group, the others formed a metastase-negative group. Two-dimensional electrophoretical (2-DE) gels in pH range 4–7 were prepared. Spot densities in 2-DE protein maps were subjected to statistical analyses (R/maanova package) and data-mining analysis (GUHA). For identification of proteins in selected spots, liquid chromatography-tandem mass spectrometry (LC-MS/MS) was employed.</p> <p>Results</p> <p>Three protein spots were significantly altered between the metastatic and non-metastatic groups. The correlations were proven at the 0.05 significance level. Nucleophosmin was increased in the group with metastases. The levels of 2,3-trans-enoyl-CoA isomerase and glutathione peroxidase 1 were decreased.</p> <p>Conclusion</p> <p>We have performed an extensive proteomic study of mammary epithelial cells from breast cancer patients. We have found differentially expressed proteins between the samples from metastase-positive and metastase-negative patient groups.</p

Effect of blood glucose level on standardized uptake value (SUV) in F-18- FDG PET-scan : a systematic review and meta-analysis of 20,807 individual SUV measurements

Objectives To evaluate the effect of pre-scan blood glucose levels (BGL) on standardized uptake value (SUV) in F-18-FDG-PET scan. Methods A literature review was performed in the MEDLINE, Embase, and Cochrane library databases. Multivariate regression analysis was performed on individual datum to investigate the correlation of BGL with SUVmax and SUVmean adjusting for sex, age, body mass index (BMI), diabetes mellitus diagnosis, F-18-FDG injected dose, and time interval. The ANOVA test was done to evaluate differences in SUVmax or SUVmean among five different BGL groups (200 mg/dl). Results Individual data for a total of 20,807 SUVmax and SUVmean measurements from 29 studies with 8380 patients was included in the analysis. Increased BGL is significantly correlated with decreased SUVmax and SUVmean in brain (p <0.001, p <0.001,) and muscle (p <0.001, p <0.001) and increased SUVmax and SUVmean in liver (p = 0.001, p = 0004) and blood pool (p=0.008, p200 mg/dl had significantly lower SUVmax. Conclusion If BGL is lower than 200mg/dl no interventions are needed for lowering BGL, unless the liver is the organ of interest. Future studies are needed to evaluate sensitivity and specificity of FDG-PET scan in diagnosis of malignant lesions in hyperglycemia.Peer reviewe