Hepatitis C is a prevalent disease in the world. Around 3 to 4 million new cases of Hepatitis C are reported every year across the globe. Effective, timely prediction of the disease can help people know about their Stage of Hepatitis C. To identify the Stage of disease, various noninvasive serum biochemical markers and clinical information of the patients have been used. Machine learning techniques have been an effective alternative tool for determining the Stage of this chronic disease of the liver to prevent biopsy side effects. In this study, an Intelligent Hepatitis C Stage Diagnosis System (IHSDS) empowered with machine learning is presented to predict the Stage of Hepatitis C in a human using Artificial Neural Network (ANN). The dataset obtained from the UCI machine learning repository contains 29 features, out of which the 19 most reverent are selected to conduct the study; 70% of the dataset is used for training and 30% for validation purposes. The precision value is compared with the proposed IHSDS with previously presented models. The proposed IHSDS has achieved 98.89% precision during training and 94.44% precision during validation.

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The fast‐growing electricity demand in Pakistan and other developing countries has posed a severe challenge to electricity distribution systems. Indeed, most of the utility companies have to follow a trend of load shedding to face this difficulty. Load shedding is the “art” of managing the load demand by shedding loads in critical situations where the demand is higher than the total generation to avoid system failure. Although electricity utilities are suggesting consumers reduce the load during peak hours in their monthly bills, the consumers are not willing or aware of this. It is clear how tedious and tiresome it is to remind the customers what the peak hours are, and manually switch off/on the heavy load during peak and off‐peak hours. The estimated cost of the system is around 43$ and 28$ with and without Global System for Mobile Communications module for message notification. Moreover, the distribution feeder has a specific capacity to bear the load in peak hours after this is automatically shut down the whole feeder. In this paper, the simulation analysis of a single‐family house is performed for automatic load reduction during peak hours in Proteus software. A hardware prototype is then designed and applied so as to validate the proposed control system. The results show that the proposed scheme allows for an efficient peak shaving during peak hours. For some typical domestic and commercial consumers, the financial benefits are also calculated. It is concluded that the payback period of this device is almost 1 month if it reduces 50% of load during the 4‐hour peak time. The proposed system may be implemented as a single additional tool/span is already available energy meters and may quickly be adopted by electric utilities of developing countries to avoid the load shedding trend.

Objective: The purpose of this study is to determine the prevalence of hypocalcemia among patients after thyroid surgery. Study Design: Descriptive study/ Cross-sectional Place and Duration: The study was conducted at the surgical department of Mayo Hospital, Lahore for the duration of eighteen months from July 2020 to December 2021. Methods: Fifty-five male and female subjects participated in this research. Patients ranged in age from 17 to 62 years. After obtaining written permission from the patient, demographic information such as age, sex, BMI, and tumors type was collected. Contralateral lobe cancer was also shown to be a problem. Before surgery and on the first post-operative day, the blood calcium levels of the patients were measured. Patients who received a full thyroidectomy were evaluated for signs of hypocalcemia. Analysis was performed using SPSS 22.0. Results: Among 55 patients, majority of the cases were females 30 (54.5%) were females and the rest were males 25 (45.5%). The patients mean age was 37.16±14.52 years and had mean BMI 24.45±6.62 kg/m2. Papillary cancer was the most common tumor found in 42 (76.4%) cases, followed by follicular cancer in 9 (16.4%) case and 4 (7.3%) cases had hurthle cell carcinoma. We found frequency of hypocalcemia in 14 (25.5%) cases. Among 14 patients of hypocalcemia 10 (71.4%) were females and 4 (38.6%) were males. Retrosternal of goiter found in 5 (35.7%) cases and no retrosternal extension found in 9 (64.3%) case. Post-operative other complications among all cases were seroma, transient hoarseness of voice and neck hematoma. Conclusion: In this study we found higher frequency of hypocalcemia in 25.5% cases after thyroid surgery. Majority of the cases were females and had no retrosternal extension. Except hypocalcemia other complications among all cases were seroma, transient hoarseness of voice and neck hematoma. Keywords: Thyroid Surgery, Tumors, Complications, Hypocalcemia

Background and Aim: Polycystic ovary syndrome (PCOS) is a new rising disorder of reproductive, metabolic, and endocrine disorders of young females of reproductive age suffering from insulin resistance, increased levels of androgens, and altered morphology of ovaries with multiple cysts, and oligoanovulation. The burden of disease is significantly high with a global prevalence of 5% - 10% of reproducing females. Literature has reported a positive correlation between diabetes mellitus in the family and the resultant risk of developing PCOS among the female population. This study will aim to assess the correlation between the familial history of diabetes mellitus and concurrent risk of developing PCOS in a tertiary care hospital in Lahore, Pakistan. Methodology: A cross sectional study was conducted in the Medicine and Gynecology department of Sir Ganga Ram Hospital, Lahore for duration of four months from October 2021 to January 2022. Participants were recruited following inclusion and exclusion criteria. Sample population was estimated to be 150 females. Participants were recruited by convenient sampling. After recruitment participants underwent physical, clinical, and serological assessment. Diagnosis of PCOS was made by following Rotterdam criteria. Data collection was done by 14 points questionnaire and history interview. Results: This study showed that all participants diagnosed with PCOS have a history of early menarche, increased level of heartbeats, a large volume of ovaries, and a lesser volume of uterus. Patients also showed increased peripheral follicles. Serologic outcomes of participants showed a generalized increase in TT levels and a generalized decrease in SHBG levels with 1.71 (1.04-2.23) nmol/L and 45.39 ± 24.44 nmol/L respectively. About 56.2% (n= 83) of the participants gave a history of the abnormal menstrual cycle and 70.3% (n= 104) of the population agreed to abnormal hair growth on the body. When assessing the history of diabetes mellitus prevalence among families of the participants, the results showed that 19% of the population (n= 28) gave a positive history of diagnosed diabetes mellitus of both mother and father, 21.1% of the participants (n= 31) suggested that their parents were never tested for diabetes mellitus before, whereas remaining 43.8% (n= 89) gave no familial history of diabetes mellitus. Conclusion: The study concludes that the most common characteristics of PCOS among the population of Pakistan is increased weight followed by abnormal hair growth, participants present with increased TT and decreased SHBG levels. Familial history of diabetes mellitus is considered a risk factor for developing PCOS. Keywords: Familial diabetes, Diabetes mellitus, Polycystic ovary syndrome, Risk factors of PCOS