Colon and rectal cancers are the most common kinds of cancer globally. Colon cancer is more prevalent in men than in women. Early detection increases the likelihood of survival, and treatment significantly increases the likelihood of eradicating the disease. The Surveillance, Epidemiology, and End Results (SEER) programme is an excellent source of domestic cancer statistics. SEER includes nearly 30% of the United States population, covering various races and geographic locations. The data are made public via the SEER website when a SEER limited-use data agreement form is submitted and approved. We investigate data from the SEER programme, specifically colon cancer statistics, in this study. Our objective is to create reliable colon cancer survival and conditional survival prediction algorithms. In this study, we have presented an overview of cancer diagnosis methods and the treatments used to cure cancer. This paper presents an analysis of prediction performance of multiple deep learning approaches. The performance of multiple deep learning models is thoroughly examined to discover which algorithm surpasses the others, followed by an investigation of the network’s prediction accuracy. The simulation outcomes indicate that automated prediction models can predict colon cancer patient survival. Deep autoencoders displayed the best performance outcomes attaining 97% accuracy and 95% area under curve-receiver operating characteristic (AUC-ROC).

Background Efficacy and safety are fundamental for the development of successful COVID-19 vaccines. Vaccine-associated side effects influence vaccine hesitancy. This study investigated the prevalence, severity, and onset of side effects following the first dose of COVID-19 vaccines among physicians and dentists working in various healthcare settings across India. Methods A cross-sectional survey collected self-report data from April to June 2021 on side effects following the first dose of the vaccine. An online validated questionnaire using the Google Docs ® platform was circulated via email and social media platforms. Results More than 40% of participants experienced at least one side effect after the first dose of vaccination; the most common were mild and resolved within three days after vaccination. More than 91% of respondents received the Covishield (AstraZeneca) vaccine; the most prevalent adverse effects were soreness of the injected arm (78.9%), tiredness (71.1%), and fever (54.9%). Logistic regression showed that women were almost 60% less likely to report side effects. Conclusion Findings supported the safety of the first dose of the COVID-19 vaccine based on relatively few self-limiting side effects, mainly soreness of the injected arm and tiredness. Further research is needed to determine the long-term safety of COVID-19 vaccines, especially after booster doses.

Introduction: Wrong postures change the body mechanics, causing pressure on joint surfaces, strain to ligaments, and skeletal muscle disadvantage. Simple faulty posture is one of the main reasons for musculoskeletal pain, especially back pain and neck pain. Based on the understanding that aberrations in posture can cause pain and injury, training and education for posture correction through training have been used as treatment approaches. The intent of the present study was to analyze posture and the severity of postural abnormalities using plumb line and to identify if these abnormalities are associated with pain among professionals. Material and Methods: The posture of 120 participants from four occupational groups was analyzed using a plumb line in relation to anatomical landmark and categorized into four types. Data were recorded as the frequency of the posture types. To test the equality of means among more than two groups, the Kruskal–Wallis test was used. Posture frequency was then compared with musculoskeletal symptoms. Results: The major finding in this study is that a considerable proportion of the study sample displayed some degree of postural anomaly. Kyphosis was found to be highest among IT professionals (76.7%) compared to the other professional groups. Kypholordotic posture was more among the nurses. The frequency of pain increased in participants with more severe postural issues. It is hypothesized that the means of different groups compared are the same against the alternative that at least one group's mean is different from others. The difference observed difference was statistically significant (P < 0.001). Discussion and Conclusion: Postural abnormalities are a significant risk factor for musculoskeletal disorders. The ergonomics of the working environment have a direct impact on the well-being of professionals. Hence, the organizations employing them, and the professionals themselves need to be sensitized regarding the importance of correct working posture.

Calcification of basal ganglia is known as FAHR’s syndrome or FAHR’s disease.  It’s a rare phenomenon which generally affects the young to middle aged adults. A 39-year-old female was sent to the radiology department of Sree Balaji Medical College, Chennai for computed tomography (CT) as she had a fall and injured her forehead. An axial plain CT scan without contrast was advised and performed. The CT study revealed mild frontal peri cranial swelling and calcification of dentate nucleus, basal ganglia, central semiovale and frontoparietal subcortical white matter was observed. On examination, however patient did not present with any other movement disorders.

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