Guidelines in establishing telerehabilitation services for people with vision impairment.

Telerehabilitation is a viable option to provide continuum of rehabilitation intervention in situations like the ongoing pandemic. Presently, there is no policy guidelines to the minimum standard of telerehabilitation. This paper describes procedures for telerehabilitation for people with blindness and low vision from the evidence-based practices from a premier eye institute in South India. The suggested guidelines can help develop and replicate similar models of telerehabilitation to reach people in need in difficult situations like COVID 19 pandemic.

Tele-rehabilitation for persons with vision impairment during COVID-19: Experiences and lessons learned.

Purpose: The COVID-19 pandemic imposed challenges to access rehabilitation intervention to individuals with visual impairment, thereby increasing their disability effects. This study explored the viability maintaining the continuum of care through telerehabilitation. Methods: This study is a retrospective analysis of individuals with vision impairment who underwent telerehabilitation at the center of excellence in eye care at Hyderabad, Telangana, India, between April and September 2020. The International Classification of Functioning, Disability and Health framework was followed to provide services such as counseling for mental well-being, information and resources, educational interventions, Assistive Technology programs, therapeutic interventions for children with multiple disabilities, access to digital audio books and rehabilitation helpline.A team of professionals involved in the service care. Phone and what's app calls were used to facilitate the training.The duration and the number of training sessions were individual need-based with an average of 45 minutes per session and 175 training sessions. Results: Three hundred and fifty individuals and their families benefited. The service include early intervention (n = 129), and low vision care (n = 176) inclusive of computer training (n = 53), soft skills (n = 53), digital books (n = 55).Nearly two-thirds of the participants were male (n = 205). Conclusion: Evidence from this study suggests telerehabilitation as a successful model of care.A well-planned telerehabilitation approach can expand the scope of reaching the visually impaired from geographically isolated areas where scarcity of service providers and service centers.

Machine Learning and Deep Learning Approaches to Analyze and Detect COVID-19: A Review.

COVID-19 also referred to as Corona Virus disease is a communicable disease that is caused by a coronavirus. Significant number of people who are tainted with this infection will have to brave and encounter moderate to severe respiratory sickness. Aged persons, sick, convalescing people and all those having underlying health complications like diabetes, chronic breathing diseases and cardiovascular diseases are bound to contract this sickness if not taken proper care of. At the current scenario, there are neither definite treatments nor inoculations against COVID-19. Nevertheless, there are numerous continuing clinical trials assessing the impending treatments and vaccines. Sensing the threatening impacts of Covid-19, researchers of computer science have started using various techniques and approaches of Machine Learning and Deep Learning to detect the presence of the disease using X-rays and CT images. The biggest stumbling block here is that there are only a few datasets available. There is also less number of experts for marking the information explicit to this new strain of infection in people. Artificial Intelligence centred tools can be designed and developed quickly for adapting the existing AI models and for leveraging the ability to modify and associating them with the preliminary clinical understanding to address the new group of COVID-19 and the novel challenges associated with it. In this paper, we look into a few techniques of Machine Learning and Deep Learning that have been employed to analyse Corona Virus Data.

The Plausible Role of Indian Traditional Medicine in Combating Corona Virus (SARS-CoV 2): A Mini-Review.

SARS-CoV 2 is a novel virus strain of Coronavirus, reported in China in late December 2019. Its highly contagious nature in humans has prompted WHO to designate the ongoing pandemic as a Public Health Emergency of International Concern. At this moment, there is no specific treatment and the therapeutic strategies to deal with the infection are only supportive, with prevention aimed at reducing community transmission. A permanent solution for the pandemic, which has brought the world economy to the edge of collapse, is the need of the hour. This situation has brought intense research in traditional systems of medicine. Indian Traditional System, Ayurveda, has a clear concept of the cause and treatment of pandemics. Through this review, information on the potential antiviral traditional medicines along with their immunomodulatory pathways are discussed. We have covered the seven most important Indian traditional plants with antiviral properties: Withania somnifera (L.) Dunal (family: Solanaceae), Tinospora cordifolia (Thunb.) Miers (family: Menispermaceae), Phyllanthus emblica L. (family: Euphorbiaceae), Asparagus racemosus L. (family: Liliaceae), Glycyrrhiza glabra L. (family: Fabaceae), Ocimum sanctum L. (family: Lamiaceae) and Azadirachta indica A. Juss (family: Meliaceae) in this review. An attempt is also made to bring into limelight the importance of dietary polyphenol, Quercetin, which is a potential drug candidate in the making against the SARS-CoV2 virus.