Experts Talk

How far does cloud technology ensure drug safety and operational efficiencies at pharmacovigilance?

From popular over-the-counter medications like paracetamol to more complicated drugs and vaccines, pharmacovigilance plays the most crucial role, in ensuring the safety of medical products before they come out in the open for public consumption. If not identified, a single case of adverse effect (AE) may endanger hundreds of thousands of lives. With numerous trials and results, data has been the tool for success in pharmacovigilance. However, the increasing data volume and data complexity are creating challenges in pharmacovigilance. How are pharmaceutical organisations leveraging the latest technology and solutions to ensure drug safety and operational efficiencies?

Building reliability in healthcare supply chains

Logistics sector leaders are set up to help healthcare providers smooth the pain points in supply chain management in an uncertain world At the start of this year, the new, more transmissible Omicron variant presented a fresh yet familiar set of challenges to global healthcare supply chains within which Asia plays an increasingly pivotal role. The need for robust and reliable supply chains remains and the difference between intelligent inventory management and inventory shortages is a fine one. The outcomes of both impact healthcare workers and their patients.

Accelerating healthcare innovation in a post-pandemic world

It’s estimated that one in three people in developing countries can’t get essential medicines on a regular basis. Even in countries considered developed, patients who have to pay for medical treatment out of pocket often find it hard to access or afford the healthcare and medicines they need. Geographic hurdles hinder remote populations, substandard healthcare infrastructures limit reliable diagnoses, and precise medical knowledge is restricted to a small number of specialists. These barriers make it difficult to treat those in serious need.

“Keep investing in expanding manufacturing capacity is our commitment to customers”

Responding to the increased demand for products that are used in emerging modalities such as gene therapy, and are currently in high demand for the manufacture of COVID-19 vaccines and therapies, Cytiva is investing $1.5 billion over two years to meet growing demand for biotechnology solutions. Investment follows five strategic acquisitions made by the companies this year and is in addition to Cytiva’s continuing capacity investments estimated at $500 millio through 2022. With this announcement, Cytiva is enhancing the global supply chain so customers in Asia-Pacific region should feel the benefit. Francis Van Parys, Vice President, Asia-Pacific, Cytiva, South Korea reveals more during a conversation with BioSpectrum Asia.

Skilling for Jobs in Life Sciences & Pharma Sector – Need of an Hour

Kamal Shahani, Managing Director, Cliniminds, Unit of Tenet Health Edutech Pvt. Ltd A country like India which is full of potential, is also left with a gaping hole due to the scarcity in the number of skilled workers in the pharmaceutical industry. With India holding a vital position in the pharmaceutical sector it becomes essential to give more importance to discovery of new drugs, medical devices & vaccines and development of life sciences where digitization plays an important role.

Ensuring compliance with data governance regulations in the Healthcare Machine learning (ML) space

“Establishing decentralized Machine learning (ML) framework optimises and accelerates clinical decision-making for evidence-based medicine” says Krishna Prasad Shastry, Chief Technologist (AI Strategy and Solutions) at Hewlett-Packard Enterprise The healthcare industry is becoming increasingly information-driven. Smart machines are creating a positive impact to enhance capabilities in healthcare and R&D. Promising technologies are aiding healthcare staff in areas with limited resources, helping to achieve a more efficient healthcare system. Yet, with all its benefits, using data to deliver more value-based care is not without risks. Krishna Prasad Shastry, Chief Technologist (AI Strategy and Solutions) at Hewlett-Packard Enterprise, Singapore shares further details on the establishment of a decentralized machine learning framework while ensuring compliance with data governance regulations.