Pharma Tech Outlook

Latest Trends in Pharma Industry DO NOT MISS THESE THREE ASPECTS OF PHARMACEUTICAL SUPPLY CHAIN! To overcome the challenges in the supply chain, organizations need to devise long-term strategies, giving more importance to the adoption of emerging technologies to streamline the processes and drive efficiency. For a long time, the supply chain in the pharma industry has remained adamant in its old ways. However, the globalization of drug supply and the emergence of new pharmaceutical technology have made it imperative for the supply chain organizations to overhaul their conventional approaches and incorporate innovative strategies to stay at the forefront in the market. Several organizations have taken steps to renounce the outdated supply chain networks and streamline the delivery of drugs to different parts of the world. Check This Out: Top Genomics Companies The Changing Landscape The pharmaceutical industry is struggling to keep up with other sectors in terms o

      Role of e-clinical Trials in Healthcare THE RISE OF ECLINICAL TRIALS IN HEALTH CARE The global e-Clinical solutions market is consisting of various segments that include clinical data management systems (CDMS), electronic data capture (EDC), clinical trial management systems (CTMS), electronic clinical outcome assessment, and safety solutions . eClinical trial solutions denote electronic applications which are implemented in clinical research and most popularly used in the biopharmaceutical industry. e-Clinical is also used to mention technology applications leveraged in ePRO, IVR systems, and EDC. Furthermore, eClinical applications also have web-based applications that bear in collecting the data live from clinical trials for quick and effective enforcement and are also server-based applications. The ultimate goal behind eClinical technologies is to understand its impacting factors like high costs for drug development, increasing competition, and harsh regulatory en

THE ROAD TO DIGITAL TRANSFORMATION IN PHARMA AND BIOTECH Biotechnology and pharmaceutical companies operate in an intensely competitive space where bringing them to market is a tough call. Technology plays a strategic role in winning this battle and to arrive at a competitive advantage. Digital transformation allows sensors, machines, equipment, and people to collaborate while improving plant processes and the products they create. It offers new approaches for advancement instead of merely assisting traditional approaches. Genomics and personalized medicine are the newer therapeutics evolved with the adaption of digital transformation. Challenges for Digital Transformation of Pharma and Biotech Apart from operational problems, finding and gaining regulatory approvals for new drugs and scaling up from laboratory to full production are major risk points for digital transformation. Improved track-and-trace solutions are required for new regulatory challenges. For some companies

Utilizing Imaging Technology in Pharma Industry MAKING THE MOST OF IMAGE ANALYTICS The emergence of AI technologies such as data mining has provided healthcare organizations with new and effective tools to manage medical images. Medical imaging has changed the landscape of medicine, equipping healthcare providers with robust and practical tools to augment their services. The primary functions of conventional imaging devices once ranged from storage to retrieval. However, the emergence of revolutionary imaging systems such as picture archiving and communication system (PACS) and vendor neutral archive (VNA) have transformed medical technology. The latest technologies leverage artificial intelligence (AI) to deliver advanced analytics to aid in healthcare operations. Although most imaging systems utilize the Digital Imaging and Communications (DICOM) standard, the adoption of PACS and VNA will require comprehensive infrastructure and the collaboration of various departments reg

Drug Discovery Significance In Pharma Industry DRUG DISCOVERY: SIGNIFICANCE OF ARTIFICIAL INTELLIGENCE Drug discovery is a challenging vertical in the Pharma industry as the researchers face slim odds while trying to convert a molecule into a medicine. Most studies put the success rate for drug discovery as below average as the chances for success stands at one in ten. However, many researchers are of the opinion that artificial intelligence (AI) can be the game-changer for drug discovery with the help of advanced computational tools such as machine learning (ML) and molecular dynamics simulation. You can also Check Out: Top Pharmaceutical Compliance Companies The traditional way of drug discovery project starts with basic research that is aimed to uncover the targets which are susceptible to attacks like a disease-related protein receptor on the surface of particular cells. After uncovering the targets, scientists use techniques like high-throughput screening to observe wh

THE INCREASING NEED FOR TRACEABILITY IN PHARMA SUPPLY CHAIN As the current pharma supply chain is challenged by the lack of visibility and a number of new compliance regulations, most companies seek enhanced traceability. Pharmaceutical companies must adopt tracking technology to ensure product integrity and achieve global compliance. Drug counterfeiting is a well-known and documented problem affecting human lives, but also the pharmaceutical industry reputation and ROIs. Within the United States, the FDA has enforced and implemented the Drug Supply Chain Security Act to protect consumers against counterfeit drugs. Act to protect consumers against falsified medicinal products. The Global Traceability Standard for Healthcare (GTSH) defines international process standard, explains and sets minimum requirements for all stakeholders in the healthcare supply chain. However, full implementation as a cohesive solution of global traceability standards is still in progress. Blockchain

Role of AI in Pharma Industry IMPROVING PATIENT OUTCOMES WITH AI Clinical variation management is vital in improving patient outcomes, reducing healthcare costs and handling financial risks. Its large scale application could address the enormous cost spent on procedures that don’t improve patient outcomes. Reducing clinical variation requires an analysis of massive amounts of data spread across multiple systems. Conventional analytics applications are not apt candidates for this task, but artificial intelligence is. AI with a vast amount of computational power can rapidly develop and measure adherence to highly sophisticated care process models. Flager hospitals have successfully employed an AI solution to improve care paths for pneumonia and sepsis and are on track to apply the same technology to more conditions over the coming months. Check This Out: Top Drug Discovery and Development companies The initial step was challenging and included pulling out data from electronic

How is machine learning used in genomics? Elizabeth Wilson  ·  Add Credential Answered 21m ago As technological innovations open the gates of scientific prospects, the fervor for cracking life’s mystery grows stronger and stronger. From creation to annihilation, the solution to all or any equations lies within the genes. genetics could be a set of biology that centers on learning all components of order and therefore the entire factor set among a particular organism. As evolution resumes, the functionalities of biological science become terribly sophisticated. However, digital disruption and technological advancement have already got an answer to elevating difficulties. The capability to sequence deoxyribonucleic acid allows scientists to faucet into the genetic blueprint that guides all of a living organism’s operations. what is more, the central dogma is illustrated because the mechanism of changing deoxyribonucleic acid to RNA to supermo