Global News and Digital Insights
for the Healthcare Industry

Day: April 25, 2022

Pharmaceutical industries are rapidly investing in Bhairahawa

Bhairahawa has developed several large pharmaceutical factories that yield a revenue worth 15 billion annually. These pharmaceutical industries are a source of livelihood for almost 2,500 individuals. Lumbini province has developed 14 large factories that are responsible for manufacturing allopathic as well as ayurvedic medicines. Asian Pharmaceuticals, Nepal’s largest pharmaceutical factory, manufactures around 280 different types of drugs. While the medicinal drugs are sold across the country, Nepal also makes a bulky amount of money by exporting them. In 2020-2021, Nepal sold pharmaceutical drugs for Rs. 30.66 billion. Read More from TheKathmanduPost

Indian government is inviting organisations to help create a digital health ecosystem

Indian National Health Authority (NHA) aims to expand their digital health department for the purpose of making digital health goods accessible to the masses. Since it is an arduous endeavour, Indian government has urged the interested parties to assist the government in implementing the Ayushman Bharat Digital Mission (ABDM). ABDM is a programme targeted at the collaboration of different ‘digital building blocks’ within the digital health ecosystem. Taking the vision of ABDM forward, the Indian government intends to make practical the theorised digital system, to an extent to achieve a global influence. Read More from OpenGovAsia

AI may detect chances of lung cancer relapse, new study at NHS informs

Research conducted at The Royal Marsden NHS concluded that patients suffering from non-small cell lung cancer (NSCLC) can be monitored post-treatment with the help of artificial intelligence (AI). AI will readily predict any chance of cancer recurrence in patients who are at high-risk. This platform will render the treatment more effective in terms of outcome because practitioners will be able to treat such patients before relapse occurs. The model is based on a Machine Learning (ML) algorithm, which can efficiently detect hazardous outcomes beforehand. Experts believe that it will also lessen the need for in-office follow-up sessions. Read More from NationalHealthExecutive

Pharmaceutical industries are rapidly investing in Bhairahawa

Bhairahawa has developed several large pharmaceutical factories that yield a revenue worth 15 billion annually. These pharmaceutical industries are a source of livelihood for almost 2,500 individuals. Lumbini province has developed 14 large factories that are responsible for manufacturing allopathic as well as ayurvedic medicines. Asian Pharmaceuticals, Nepal’s largest pharmaceutical factory, manufactures around 280 different types of drugs. While the medicinal drugs are sold across the country, Nepal also makes a bulky amount of money by exporting them. In 2020-2021, Nepal sold pharmaceutical drugs for Rs. 30.66 billion. Read More from TheKathmanduPost

Indian government is inviting organisations to help create a digital health ecosystem

Indian National Health Authority (NHA) aims to expand their digital health department for the purpose of making digital health goods accessible to the masses. Since it is an arduous endeavour, Indian government has urged the interested parties to assist the government in implementing the Ayushman Bharat Digital Mission (ABDM). ABDM is a programme targeted at the collaboration of different ‘digital building blocks’ within the digital health ecosystem. Taking the vision of ABDM forward, the Indian government intends to make practical the theorised digital system, to an extent to achieve a global influence. Read More from OpenGovAsia

AI may detect chances of lung cancer relapse, new study at NHS informs

Research conducted at The Royal Marsden NHS concluded that patients suffering from non-small cell lung cancer (NSCLC) can be monitored post-treatment with the help of artificial intelligence (AI). AI will readily predict any chance of cancer recurrence in patients who are at high-risk. This platform will render the treatment more effective in terms of outcome because practitioners will be able to treat such patients before relapse occurs. The model is based on a Machine Learning (ML) algorithm, which can efficiently detect hazardous outcomes beforehand. Experts believe that it will also lessen the need for in-office follow-up sessions. Read More from NationalHealthExecutive