Efficient diagnosis and ICU patient monitoring model

Healthcare is a sector that is expeditiously developing in technology and services. In recent years, the Covid-19 pandemic has drastically affected the working of the healthcare sector;people are apprehended to visit hospitals for any treatment. But evolution in modern technologies has opened multiple paths to improve and modernize the working of the healthcare sector. The proposed system is a multi-layered disease prediction model that analyzes numerous factors for predicting diseases. The system analyzes the symptoms using a modified decision tree algorithm that predicts the possible illness and suggests the test accordingly. The model is trained individually for each type of test format. For image type, reports were classified with convolutional neural networks. For PDF type, the data was extracted using optical character recognition (OCR). The model uses the Levenshtein distance to find unigrams and bigrams. The match is further analyzed, and a detailed summary of the report gets generated. Report summary and the predicted disease are provided to the patient with the list of home remedies. Further, a specialized doctor receives all the medical diagnosis details when a patient books an appointment. Hospitals usually face the problem of patient versus nurse ratio. It creates management issues to the critical ward. Patients are left unattended and can cause death threats. The proposed system analyzes multiple and dynamic factors. It increases the accuracy of the prediction. The proposed hospital monitoring system observes the vital signs on the patient monitors beside the ICU beds and notifies the hospital staff after encountering the abnormality. The model dynamically calculates the threshold value for each vital sign considering multiple factors like age, gender, and medical history of the patient. By understanding the patient's current medical condition, the model responds to change in vital signs and gives an idea about the organ's condition. Machine learning algorithm-random forest regression helps in calculating the threshold values of heart rate (HR) and respiratory rate (RR). Equations for blood pressure (BP) get the threshold values depending on age and gender. These custom thresholds for specific patients reduce false alarms, which was a significant concern in the previous monitoring system. © 2023 River Publishers.

Salivary Analysis for Evidence based Ayurvedic Diagnosis

Ayurveda is called Mother of all medical sciences. It's the oldest therapeutic and medicinal treatment invented in ancient India. Ayurveda or Ayurvedic treatment is bit different from modern medical science. It believes in Nadi Pariksha and many subjective parameters are included to start diagnosis of disease. Whereas modern medical science has different approach of disease diagnosis. It utilizes different tools and testing to diagnose a disease effectively. Saliva analysis is already accepted in modern medical as an important bio-substance, as we see in COVID-19, but not in ayurveda. This paper shows how salivary analysis can act as an evidential proof for diagnosing a disease, in the ayurvedic way. The salivary contents can be analyzed use various biosensors. One of these is Surface Enhanced Raman Spectroscopy (SERS) platform. It allows molecular detection in bio fluids like saliva, sweat, urine, etc. The saliva analysis using SERS technique will help to detect various trace level molecules which is likely to assist the Ayurvedic diagnosis more accurately and dependency on subjective parameters will reduce to evaluate patient's condition. © 2023 IEEE.

Analysis of Union Budget 2023-24: India@100 enduring Transparency, Accountability and Sustainability

The Indian Economy is on a Growth Path and India@100 is clearly visible from the Union Budget. Budget will add wings to the economic growth and development post Covid-19 with the digital revolution in agriculture, healthcare, education, employment, MSMEs, banking, post offices, and all spheres of Government functioning. Budget announcements focus on Macro-economic growth and micro-economic Inclusive welfare towards the Bharat of tomorrow. It will induce employment, financial development and ease inflationary pressures. The Budget lays down Vision for India @ 100 with jobs, growth and productivity with inclusive development and total prosperity of Indians and give nav jeevan to erstwhile Hindustan adding Wings to the baby elephant through the Digital India. © Indian Institute of Finance.

A living WHO guideline on drugs for covid-19

Clinical question What is the role of drug interventions in the treatment and prevention of covid-19? Recommendations The first version on this living guidance focuses on corticosteroids. It contains a strong recommendation for systemic corticosteroids in patients with severe and critical covid-19, and a weak or conditional recommendation against systemic corticosteroids in patients with non-severe covid-19. Corticosteroids are inexpensive and are on the World Health Organisation list of essential medicines. How this guideline was created This guideline reflects an innovative collaboration between the WHO and the MAGIC Evidence Ecosystem Foundation, driven by an urgent need for global collaboration to provide trustworthy and living covid-19 guidance. A standing international panel of content experts, patients, clinicians, and methodologists, free from relevant conflicts of interest, produce recommendations for clinical practice. The panel follows standards, methods, processes, and platforms for trustworthy guideline development using the GRADE approach. We apply an individual patient perspective while considering contextual factors (that is, resources, feasibility, acceptability, equity) for countries and healthcare systems. The evidence A living systematic review and network meta-analysis, supported by a prospective meta-analysis, with data from eight randomised trials (7184 participants) found that systemic corticosteroids probably reduce 28 day mortality in patients with critical covid-19 (moderate certainty evidence;87 fewer deaths per 1000 patients (95% confidence interval 124 fewer to 41 fewer)), and also in those with severe disease (moderate certainty evidence;67 fewer deaths per 1000 patients (100 fewer to 27 fewer)). In contrast, systemic corticosteroids may increase the risk of death in patients without severe covid-19 (low certainty evidence;absolute effect estimate 39 more per 1000 patients, (12 fewer to 107 more)). Systemic corticosteroids probably reduce the need for invasive mechanical ventilation, and harms are likely to be minor (indirect evidence). Understanding the recommendations The panel made a strong recommendation for use of corticosteroids in severe and critical covid-19 because there is a lower risk of death among people treated with systemic corticosteroids (moderate certainty evidence), and they believe that all or almost all fully informed patients with severe and critical covid-19 would choose this treatment. In contrast, the panel concluded that patients with non-severe covid-19 would decline this treatment because they would be unlikely to benefit and may be harmed. Moreover, taking both a public health and a patient perspective, the panel warned that indiscriminate use of any therapy for covid-19 would potentially rapidly deplete global resources and deprive patients who may benefit from it most as potentially lifesaving therapy. Updates This is a living guideline. Work is under way to evaluate other interventions. New recommendations will be published as updates to this guideline. Readers note This is version 1 of the living guideline, published on 4 September (BMJ 2020;370:m3379) version 1. Updates will be labelled as version 2, 3 etc. When citing this article, please cite the version number. Submitted August 28 Accepted August 31Copyright © Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to.

Understanding communication about the COVID-19 vaccines: analysis of emergent sentiments and topics of discussion on Twitter during the initial phase of the vaccine rollout

We assess the underlying topics, sentiment, and types of information regarding COVID-19 vaccines cycling through Twitter during the initiation of the vaccine rollout. Once tweets about COVID-19 vaccine posted between 1 December 2020 and 28 February 2021 were collected and preprocessed, they were categorized as either relevant or irrelevant by a classifier trained by the research team. Latent Dirichlet Allocation was used to discover the topics of discussion in the relevant tweets. The NRC lexicon was used to quantify positive and negative sentiment found in the tweets. The types of information (information, misinformation, opinion, or question) in positive and negative sentiment tweets were assessed and distributions were compared. A total of 1,386,390 tweets were collected, out of which 210,657 relevant tweets were identified by the relevancy classifier. Eight topics provided the best representation of the corpus of relevant tweets. Tweets with a negative sentiment were associated with a higher percentage of misinformation whereas tweets with positive sentiment showed a higher percentage of information, opinions, and questions. The proliferation of information and misinformation on social media platforms is associated with building public trust and mitigating negative sentiment associated with COVID-19 vaccines. © 2023 Informa UK Limited, trading as Taylor & Francis Group.

What's up in Whatsapp - Telecytopathology Experience Connecting Rural Districts of Punjab to a Tertiary Care Center in India

Introduction: The telemedicine center of our hospital provides expert consultation services to two rural districts of Punjab. The aim of this study was to assess its utility in Fine needle aspiration Cytology (FNAC) diagnostic service. Material(s) and Method(s): A 2-year retrospective audit from April 2020-2022 covering the COVID pandemic time was carried out on all cases of telecytopathology consultation files of the E-sanjeevani platform. A total of 75 cases whose FNAC smear images clicked by android smartphones with 48MP cameras and sent by Whatsapp to the E-Sanjeevani administrator were included. The images along with brief case clinical details were e-mailed for expert opinion to the cytopathologist (RS). The image quality, ability to provide a diagnosis, site-wise differences and comparison of the referral and expert review diagnosis was made. Result(s): The ages of the patients ranged from 4-80 years (2 children, 73 adults), with 25 males and 50 females. The sites of FNA performed at the district hospital were lymph nodes (22), breast (21), thyroid (15), soft tissue (8), salivary gland (2), skin (4), lip (2) and glans penis (1). The number of Whatsapp images evaluated ranged from 3-20 with median of 11 per case. They were in JPEG file format with size ranging from 40-163kb. Image quality was rated visually as good, medium, and poor in 46 (61%), 21m (28%) and 8(11%) cases respectively. There was no distortion of images upon enlarging them for better visualization on a large monitor. Best accuracy was obtained in breast and lymph nodes FNA. Soft tissue FNA was difficult to interpret and was inconclusive in 3/8 cases. Conclusion(s): Telecytopathology by Whatsapp is simple, quick, feasible and very useful to provide expert opinion in FNAC of various sites thereby enabling the pathologist in the district hospital setting. (Figure Presented).

A Study of Cryptographic Primitives in the context of Blockchain's Data Integrity and Privacy

In Today's World, Blockchain is a promising Technology in all areas;things have also been drastically changed after COVID-19;challenges surfaced for implementing blockchain technology in the context of its computational complexity and security. After invention of it in 2008, cryptocurrency applications, i.e., Bitcoin it also getting introduced in Different applications. One of the Major Building blocks of Blockchain is Cryptography techniques. This paper discusses Cryptographic primitives used in different phases of Blockchain implementation and the challenges of implementing these cryptographic primitives. Bitcoin uses Cryptographic primitives to generate public-private key pairs and mining, while Ethereum uses Elliptic curve cryptography to create public-private keys and digital signatures. This paper divided uses of cryptographic primitives into three categories used in Blockchains, i.e., key generation Hashes, signature generation hashes, and proof hashes. © 2022 IEEE.

Towards MOOCs for Lipreading: Using Synthetic Talking Heads to Train Humans in Lipreading at Scale

Many people with some form of hearing loss consider lipreading as their primary mode of day-to-day communication. However, finding resources to learn or improve one's lipreading skills can be challenging. This is further exacerbated in the COVID19 pandemic due to restrictions on direct interactions with peers and speech therapists. Today, online MOOCs platforms like Coursera and Udemy have become the most effective form of training for many types of skill development. However, online lipreading resources are scarce as creating such resources is an extensive process needing months of manual effort to record hired ac-tors. Because of the manual pipeline, such platforms are also limited in vocabulary, supported languages, accents, and speakers and have a high usage cost. In this work, we investigate the possibility of replacing real human talking videos with synthetically generated videos. Synthetic data can easily incorporate larger vocabularies, variations in accent, and even local languages and many speakers. We propose an end-to-end automated pipeline to develop such a platform using state-of-the-art talking head video generator networks, text-to-speech models, and computer vision techniques. We then perform an extensive human evaluation using carefully thought out lipreading exercises to validate the quality of our designed platform against the existing lipreading platforms. Our studies concretely point toward the potential of our approach in developing a large-scale lipreading MOOC platform that can impact millions of people with hearing loss. © 2023 IEEE.

A Detailed Review on 6G Technology Online Learning System Applications, Challenges and Research Activities

The COVID-19 pandemic has led to a major disruption of education worldwide, affecting an estimated 1.6 million students. Classroom education has been suspended and will be replaced by e-learning online forums. In higher education, e-learning is made available through recorded lectures, and online forums become an integral part of the entire system. With this background 6G plays a vital role for online learning platforms by providing high-speed uninterrupted internet. While fifth generation (5G) dispatches are being rolled out worldwide, sixth generation (6G) dispatches have attracted important attention from both the assiduity and academia with respect to online learning. Though 6G is supposed to have more advanced capabilities than 5G, there's yet no clear description of what 6G is. A new paradigm of wireless communication, the sixth generation (6G) system, with the full support of artificial intelligence, is anticipated to be stationed between 2027 and 2030. Beyond 5G, some abecedarian issues that need to be addressed are advanced system capacity, advanced data rate, lower latency, and bettered quality of service (QoS) compared to the 5G system. This paper presents the vision of unborn 6G wireless communication and its conditions and operations. We bandy the arising technologies similar to artificial intelligence, terahertz dispatches, optic wireless technology, blockchain, three-dimensional networking, unmanned upstanding vehicle, cell free dispatches, holographic beamforming, and big data analytics that can help the 6G architecture development in guaranteeing QoS. We present the anticipated operations similar as mm-Wave and Internet of Things (IoT) with the conditions and the possible technologies for 6G communication. We also outline the possible challenges as cost, sequestration, transceiver design, and energy and exploration enterprise to reach this thing. © 2023 selection and editorial matter, Zdzislaw Polkowski, Samarjeet Borah, Sambit Kumar Mishra, and Darshana Desai;individual chapters, the contributors.

Role of Itolizumab in the Treatment of COVID-19 Patients, Admitted to ICU at a Tertiary Care Hospital.

BACKGROUND: Clinical studies have correlated severe deterioration of COVID-19 patients due to excessive and uncontrolled production of cytokines. There is a pressing need to explore therapies, which could prevent the cytokine storm rather than terminating it. AIMS AND OBJECTIVES: The aim of the study is to evaluate the effect of itolizumab on clinical outcomes of patients with moderate-severe COVID-19 disease admitted to ICU. The primary aim of the current study is to find out any mortality benefit in 14 days. The secondary aim is to assess the morbidity outcomes in terms of reduction in inflammatory markers and also the duration of hospital stays to assess the prognostication. MATERIALS AND METHODS: It is a retrospective case-control study in which laboratory-confirmed COVID-19 patients admitted to ICU were taken. A total of 62 patients were recruited, 31 patients received itolizumab (cases/treatment group) and 31 patients didn't receive itolizumab (designated as controls). RESULTS: Among the total patients recruited, 68% of the study population was male and 32% were female. A total of 12 patients expired among cases and 13 expired among controls. Overall mortality in both groups was noted to be almost similar. The control group showed mortality at lower computed tomography (CT) scores compared to the cases. There is a significant reduction in inflammatory markers, like interleukins-6 (IL-6) and D-dimer in cases compared to the control group. CONCLUSION: In conclusion, treating patients with cytokine storms before they require intubation/mechanical ventilation is crucial to preventing deaths. Itolizumab has shown no clinical benefit in critically ill COVID-19 patients, however, timely initiation of itolizumab therapy may serve as a key therapeutic option in preventing the mortality and morbidity outcomes in moderate-severe COVID-19 patients.

Forecasting the Growth in Covid-19 Infection Rates

The recent times have seen the global rise in infection rates from the virus Covid-19, leading to a pandemic. The exponential rise in infections and deaths lead to panic and nation-wide lockdowns across the globe. Advancements in biotechnical and medical research have paved the way for the development and mass distribution of vaccines. To build an understanding of the current situation we did a comparative analysis of the rise in infection rates among citizens across the countries and also the growth in vaccinations in the pre-vaccination phase and the post-vaccination phase of the on-going pandemic to determine whether the rate of vaccination is more than the rate of infection or otherwise. Then, a comparison is done among two prediction models we built, one using polynomial regression and other using SVM to determine which model provides better prediction results of infection rates in a country. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Prevalence of Dry Eye Disease in Undergraduate Medical Students and its Association with Online Overexposure Due to Coronavirus Disease (COVID-19)

Objectives: To understand the prevalence of dry eye disease (DED) in undergraduate medical students and assess its association with online overexposure due to COVID-19. Materials and methods: The study was carried out with 200 medical undergraduate students aged 18-25 years at North Indian Medical College during the third and fourth weeks of September, 2021 & enquired regarding the online exposure pattern, type of device used and presence of eight dry eye symptoms (foreign body sensation, vision difficulties, discharge, itching, ocular pain, redness, photophobia, watering) followed by Schirmer's strips examination. Cut off for dry eye disease was <10 mm. Data was analyzed using SPSS 21.0 package & Chi-square test for comparisons. Results: Mean age was 21.00±1.93 years. Majority were females (54.5%). Prevalence of dry eye symptoms was 85.5%. Vision difficulties (54.0%), itching (56.0%), watering (51.5%) were the most common symptoms. Majority (64.0%) had >3 symptoms. Use of mobile device, >4 hours of online exposure for other than study purposes and >1.5 increase in online exposure after COVID-19 were associated with presence of >3 dry eye symptoms. On Schirmer's test, prevalence of dry eye disease was 12.0%. Conclusion: Longer duration of online exposure and increase in online activities as a result of COVID-19 was associated with an increased risk of dry eye disease and its prevalence in undergraduate medical students. © 2022 by the Author(s).

ECG Abnormalities in Patients Affected with COVID-19: A Review

Cardiovascular inclusion has been accounted for in patients with serious intense respiratory condition Covid 2 contamination, which might be reflected by electrocardiographic changes. Cardiovascular injury is additionally connected with humanity, need for intensive care, and seriousness of illness in patients due to Coronavirus. Some case features cardiovascular contribution as an intricacy related with Coronavirus, even without indications and indications of interstitial pneumonia. Two Coronavirus incidents in our report displayed diverse ECG indications by means of the sickness caused decay. The main case introduced brief SI QIII TIII sound structure followed by changeable almost whole atrioventricular square, and the second exhibited ST-section height joined by choroidal ventricular tachycardiac. The hidden systems of these ECGs irregularities in the serious phase of Coronavirus might be ascribed to hypoxia and incendiary harm brought about by the infection. Since the scourge of Coronavirus pulled in the consideration, hearsays were encompassing ECG variations in the contaminated people. We pointed toward indicative dissimilar noticed ECG discoveries and talking about their experimental importance. This deliberate audit recommends that recognizing ECG designs that may be connected with Coronavirus is fundamental. Given that doctors don't perceive these examples, they may mistakenly hazard the existences of their patients. Moreover, significant medication instigated ECG changes give attention to the medical care laborers on the dangers of potential treatments. Copyright © 2022 Wolters Kluwer Medknow Publications. All rights reserved.

Role of Itolizumab in the Treatment of COVID-19 Patients, Admitted to ICU at a Tertiary Care Hospital

Background: Clinical studies have correlated severe deterioration of COVID-19 patients due to excessive and uncontrolled production of cytokines. There is a pressing need to explore therapies, which could prevent the cytokine storm rather than terminating it. Aims and objectives: The aim of the study is to evaluate the effect of itolizumab on clinical outcomes of patients with moderate-severe COVID-19 disease admitted to ICU. The primary aim of the current study is to find out any mortality benefit in 14 days. The secondary aim is to assess the morbidity outcomes in terms of reduction in inflammatory markers and also the duration of hospital stays to assess the prognostication. Materials and methods: It is a retrospective case-control study in which laboratory-confirmed COVID-19 patients admitted to ICU were taken. A total of 62 patients were recruited, 31 patients received itolizumab (cases/treatment group) and 31 patients didn't receive itolizumab (designated as controls). Results: Among the total patients recruited, 68% of the study population was male and 32% were female. A total of 12 patients expired among cases and 13 expired among controls. Overall mortality in both groups was noted to be almost similar. The control group showed mortality at lower computed tomography (CT) scores compared to the cases. There is a significant reduction in inflammatory markers, like interleukins-6 (IL-6) and D-dimer in cases compared to the control group. Conclusion: In conclusion, treating patients with cytokine storms before they require intubation/mechanical ventilation is crucial to preventing deaths. Itolizumab has shown no clinical benefit in critically ill COVID-19 patients, however, timely initiation of itolizumab therapy may serve as a key therapeutic option in preventing the mortality and morbidity outcomes in moderate-severe COVID-19 patients. © The Author(s). 2022Open Access This article is distributedunder the terms ofthe Creative Commons Attribution 4.0InternationalLicense (https://creativecommons.org/licenses/by-nc/4.0/)

Exploiting artificial intelligence for combating COVID-19: a review and appraisal

Machine learning algorithms immediately became critical in the battle against the COVID-19 outbreak. Diagnoses, medicine research, an illness spread predictions, and population surveillance all required the use of artificial intelligence (AI) methods as the epidemic grew in scope. To combat COVID-19, screening procedures that are both effective and rapid are required. At COVID-19, AI developers took a chance to show how AI can benefit all mankind. It was only after the employment of AI in the battle against COVID-19. AI's various and diverse applications in the epidemic are documented in this study. It is the purpose of this study to help shape the future development and usage of these technologies, whether in the present or future health crises. © 2023, Institute of Advanced Engineering and Science. All rights reserved.

Changing Landscape of Technical Education Pedagogy From Traditional to Practical e-Learning

With the COVID-19 pandemic, online university education assumed greater importance. We propose a practical e-learning model with suggestions to augment online education of all forms to support effective technical education. We also share our experiences of implementations of some of these suggestions in online teaching.

Forecasting the Growth in Covid-19 Infection Rates

The recent times have seen the global rise in infection rates from the virus Covid-19, leading to a pandemic. The exponential rise in infections and deaths lead to panic and nation-wide lockdowns across the globe. Advancements in biotechnical and medical research have paved the way for the development and mass distribution of vaccines. To build an understanding of the current situation we did a comparative analysis of the rise in infection rates among citizens across the countries and also the growth in vaccinations in the pre-vaccination phase and the post-vaccination phase of the on-going pandemic to determine whether the rate of vaccination is more than the rate of infection or otherwise. Then, a comparison is done among two prediction models we built, one using polynomial regression and other using SVM to determine which model provides better prediction results of infection rates in a country. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.