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Integrating Bioinformatics, Medical Science and Drug Discovery

By | Blog

Healthcare in the 21st century faces a unique set of challenges such as rising healthcare costs, analytical research, productivity in curative discovery and development. Reducing costs with the time required for steps in the drug discovery pipeline is crucial to deliver better drugs promptly. Succeeding these odds bioinformatics industry has turned to computational approaches to overcome the traditional development in drug discovery and medical science. The use of biomarkers in drug development has shifted the trend toward more quantitative, evidence-based drug development integrating bioinformatics, medical science and drug discovery.

Integrating Bioinformatics, Medical Science and Drug Discovery promises to equip researchers with tools and resources for efficient capture and analyze the structure of medicine while allowing medical field and doctor’s access to evidence-based insights for efficient patient care. Here we highlight some of the areas individually in which bioinformatics resources and methods are being developed to support the drug discovery pipeline.

  • Bioinformatics
    Bioinformatics now is integrated with computer science which is now emerging as a crucial element with a standard shift in modern biology and biomedical research to use the computers, software tools and computational models for accurate and precise discovery. Bioinformatics deals with the exponential growth in biological data have led to the development databases available as publicly across the world. Bioinformatics plays a vital role in the integration of broad disciplines of biology and aids how biomedical investigators use the information in their testing. The complete process of data collection to analysis of the results of such tests is also known as Clinical Informatics.
  • Informatics and Medical Sciences
    It is a known fact that most of the doctors are opposed to computers. To overcome this problem one of the solutions proposed is to introducing Palmtops personally customized for physicians that fit easily into the pocket of a lab coat, helping the doctor to feed in the medical data sequentially. This leads to addressing the basic need of any medical analysis, data capture creating Electronic Medical Records (EMR) eventually, developing a database for reference and analysis and routine clinical record in the form of charts or specialized datasheets. This concept drastically reduces the possibilities of manual errors due to frustration and other emotional disorders. Shortly the complete information of the patient can be accessed from the EMR ranging from drug trial data, tests performed with accurate outcomes and research analysis.
  • Bioinformatics and Drug Discovery
    Nowadays infectious diseases are the world’s biggest killers. WHO states that “there occur more than 13 million deaths a year in a developing country due unavailability of efficient drugs and availability leading to the high cost”. The major problems faced by mankind are the discovery and development of cheap and efficient drugs. Rational Drug Design using Bioinformatics is a one-step solution to this problem to end the trial and error process of drug discovery to rational structure-based drug design with reduced time and cost. Taking into account all factors we have to develop an effective structure of drugs with potential targets identifying current scenario.
  • Need for Integration
    Rapid advances in the field of computers coupled with increasing technology favor the implementation of computer applications in medical science and bioinformatics. Added, the availability of large databases on the internet has revolutionized the way a doctor addresses a strategy for treatment. Human Proteomics Initiative is a classic example, showing the necessity of integrating Bioinformatics to predict structures and functions of proteins. Medical science to identify proteins in metabolic or other disorders. And drug discovery to identify novel drugs against the predicted targets.

Thus all three areas must work in synchronization to achieve the ultimate goal of the precise drug development process and apply it for the betterment of human lives with the early characterization of a drug that can make the next blockbuster. If you’re looking to develop perfect drug discovery, correct analytical research, and accurate methods for integrating medical science bioinformatics, please check out at Celbridge Science. To connect with us at [email protected] or call us anytime on 636-594-2242.

Health Care of Tomorrow, Today: How Artificial Intelligence is Fighting the Current, and Future COVID-19 Pandemic

By | Blog

Consider the recent COVID 19 pandemic, that has caused the world to come at a halt in itself and continues. Countries across the globe are assembling all their resources and are deploying cutting-edge technologies to fight against the effects of COVID-19. During such unprecedented times, healthcare technologies have pushed themselves for agile innovation and have increased the volume of services. It is well said that ‘Amid every crisis, lies a great opportunity’; the deadly crisis has not only opened up new vistas of opportunities for the technology but has also given rise to Artificial Intelligence in particular. AI minimizes the need for human interaction which is the optimal way to prevent its spread in the community. AI is demonstrating its capabilities through diagnosing risks and assisting in medical advancements to tackle the pandemic.

Communities of peoples join the battle to fight for their lives against the pandemic. AI and technology are leveraging their tools and solutions to help in combating the crisis and assist in prediction, notifications, data dashboards, social control, and medical diagnosis & therapy to make accurate decisions quickly. Artificial Intelligence has lowered the burden by automating the processes, organizing tons data, and creating automatic clinical notes which resulted in the enhanced ability of doctors to focus on treating an increased number of patients.

Wearable, such as smart suits which researchers have designed, can observe human body parameters and alerts them when body temperature goes beyond normal one. Biometrics that measures respiration patterns, cardiac diagnosis and other human activities provide statistics for the doctors to minimizing visits to infected patients. Hospitals across the world have implemented AI to support medical professionals and their staff to treat infected patients and effectively monitor and manage the COVID-19 pandemic. Such real-time data for remote monitoring creates a unique dataset to understand the disease progression and develop predictive measures. Such a platform would offer a chance for researchers and companies to get ahead of the disease and develop more effective treatment plans and vaccine quickly.

Celbridge Science takes an opportunity to help scientist and organization to integrate with a laboratory information management system to accelerate the drug development process to discover efficient and effective AI-powered tools to address COVID-19. The company ensures that the clients to transform the scientific process that would power their enterprise. We use an Artificial Intelligence-based approach to help clients with real-time analytical solutions, utilization of your critical data using our big data tools, and advanced cutting edge analytics in medical science. We help them in diagnosing medical errors with deep learning AI algorithms for targeted treatment to scale better results. Our services enhance your business processes with the power of artificial intelligence to transform, simplify, and enhance performance across your value chain for optimum results.

Our services allow scientists to conduct their research in an environment supported by powerful analytics, ensuring agile, clean, and efficient delivery. We work on the raw data sets with the most advanced algorithms for maximum efficiency and continue leveraging Artificial Intelligence to derive meaningful results to enable science to achieve breakthroughs in the next-generation.

Leveraging the potential of AI provides a tool to the global community in tackling the pandemic. With the rapid development of AI solutions during the COVID, the medical science of tomorrow is already addressing the challenges we are facing today. If you’re looking to leverage such services during COVID-19, please check out at Celbridge Science. To connect with us at [email protected] or call us anytime on 636-594-2242.

Data Science – Dealing Pandemic Globally

By | Blog

Looking at the post-COVID-19 scenario through a data lens, that has brought societies to halt demands for an increase in investing in technologies. Ongoing lockdowns, uncertainties in businesses and project recessions are struggling to cope up day to day operations and decisions through all the domains possible. While the current situation seems bank and the future seem uncertain organizations need to be recalibrated to new normal. Amidst this pandemic, we are also dealing with changing consumer demand, supply chain disruptions, modification in healthcare diagnosis and medical science and many more. The only solution that will be of value to adapt and uplift crises is going digital and having strong data science capabilities.

With most of the organizations adopting remote working, they have to deal with certain challenges and multiple operation disruptions. Many companies are adopting agile business processes, new operational models for long term impacts via data science and data-driven simulations using artificial intelligence and machine learning. Also, organizations have already begun to respond by investing in technologies like Augmented and Virtual Reality, many companies have started to ensure contactless transaction for 24/7 and 365 customer support via intelligent chatbots and RPA to ease complex and rule-based digital task such as filling multiple and repetitive data. Apart from these responses company are building IoT devices with Natural Language Processing (NLP) to analyze the format of data and gather real-time data, remotely monitor pulse rate, glucose levels to detect possible outbreaks with intelligent healthcare systems.

Data Science is continuously evolving with its ambiguous nature to play a major role in reshaping the structure of data and analytics in such a volatile environment. Data Science offers a very agile and reinforced approach in the following areas:

  • Prescriptive Modeling:
    Logic-based models with machine learning approach would lead to stable decision making with high priorities for contextual information. Currently, organizations are facing risk due to lack of concrete information, with prescriptive models coming in play company would be able to handle the risk of uncertainty and implement the best course of action.
  • Data Management:
    Managing data is a strategic resource before conducting its analysis. It’s imperative to have a well defined and documented data management process that smartly monitor and improve the accuracy of data patterns with a change in every data added.
  • Advanced Artificial Intelligence:
    Enhancing your business processes with the power of artificial intelligence helps companies to pivot to a vastly improved competitive position. Advanced AI and advanced analytics algorithms are used to transform, simplify and enhance your business performance across domains to bring the best in them and accelerate business capabilities to reduce manual burdens with valued analysis
  • Data Analytics:
    Understanding the structure of disease, creating treatment plans and improving the existing plans in medical science, data analytics is coming up with diagnosis which more reliable and faster. With accurate data results and analysis, a scientist can perform and analyze medical test easily speedily, freeing the extra resources and gaining valued insights from the extracted data.
  • Machine Learning and Big Data Processing:
    The value of data is directly linked to its quality. The insights derived from the complex and unstructured data cannot be trusted. With Machine Learning and Big Data coming into the picture can detect missing values, finding duplicate records that have the same entity with different terminology and normalizing the data to advance business processes and data mapping.

Most of the organizations are still crawling and learning to combine the new possibilities and outcomes of data science. The future is an intelligent industry that leverages all the data and provides all optimized outcomes that would efficiently work for us in every domain of Information Technology and Medical Science. Moreover, the companies developing solutions not only need to rigorously test their solutions but also must ensure that the solution leveraged should work post-COVID-19 world with an added extra layer to the one that would be built in for the future.

Optimizing the potential of Data Science addresses the global community with solutions to tackle the pandemic. With the rapid development of data science during the COVID-19, the data science of tomorrow is already addressing the challenges we are facing today. If you’re looking to leverage such services during COVID-19, please check out at Celbridge Science. To connect with us at [email protected] or call us anytime on 636-594-2242.