About Cyanophycin

| July 9, 2019

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This video explains Cyanophycin and the way it is used in the European research project "Sustainable Co-Production".

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Catabasis Pharmaceuticals, Inc.

We are a clinical-stage biopharmaceutical company focused on the discovery, development and commercialization of novel therapeutics based on our proprietary Safely Metabolized And Rationally Targeted, or SMART, linker technology platform.

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AI and Biotechnology: The Future of Healthcare Industry

Article | January 20, 2021

Artificial intelligence has grasped the foundation in biotech. It can have the most innovative impact on biotechnology. AI has already established its presence in our day-to-day life. AI has made the existence of self-driving cars possible. Likewise, the benefits and quality that it can contribute to biotech can also be felt. With AI, bio technicians will be able to enhance virtual screening, overlook preliminary datasets from clinics, and decipher an enormous amount of information. It can also help in improving the medication process by gathering and analyzing every bit of information. The Significance of AI in Biotechnology In the past few years, the application of artificial intelligence in the biotechnology industry has shifted from being sci-fi to sci-fact. A vast number of biotech companies like Deep Genomics are adopting AI for making data-driven decisions and use analytics tools to work efficiently. Unlike the AI robots in sci-fi that are ready to take over the world. AI designed for biotech has been designed to solve certain problems or complete a bunch of tasks by using automated algorithms. The aim of AI technology for biotech is to collect insights along with hidden patterns from large amounts of data. All the different industries of biotech including agriculture, animal, medical, industrial, and bioinformatics are gradually being affected by artificial intelligence. Moreover, the biotech industry is realizing that AI enables them some of the important strength to their business, including: Expanding accessibility Cost-effectiveness Critical predictions Efficient decision-making Research centers like PwC have also estimated output of $15.7 trillion by 2030 solely with AI contribution in industries. A survey revealed that about 44% of life science experts are using AI for R&D activities, as well. Use of AI in Biotechnology Altering Biomedical and Clinical Data So far the most developed use of AI is its ability to read voluminous data records and interpret them. It can prove to be a life-save for bio technicians who would have to examine that much data from research publications by themselves for the validation of their hypothesis. With the help of AI, clinical studies of patients will also become easier as all the examination reports and prescriptions will be stored in one place for cross-reference. Furthermore, it will also help in blending and fetching data into usable formats for analysis. Test Result Prediction Through trial and error, AI along with machine learning can help in predicting the response of the patient to certain drugs to provide more effective outcomes. Drug Design & Discovery AI plays a vital role whether it’s designing a new molecule or identifying new biological targets. It helps in identifying and validating drugs. It reduces the cost and time spent on the entire drug trial process and reaches the market. Personalized Medications for Rare Diseases With the combination of body scan results, patients’ body and analytics, AI can also help in detecting dangerous diseases at an early stage. Improving Process of Manufacturing To improve the process of manufacturing in biotechnology, AI offers a wide range of opportunities. It controls quality, reduces wastage, improves useability, and minimizes the designing time. Moving Towards AI-Enhanced Biotech Future Ever since the concept of artificial intelligence has arrived, being curious by nature, humans have started working towards achieving this goal. It has been growing at a fast pace while showing unbelievable growth and achievements at times. In comparison to the traditional methods used in the biotechnology industry, AI-based methods seem more reliable and accurate. In the upcoming years, it will show its success by improving the quality of health people have. You can also develop your AI-based application or know more about it by taking IT consultations.

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5 Biotech Stocks Winning the Coronavirus Race

Article | April 13, 2020

There are quite a few companies that have found ways to grow their business during the ongoing COVID-19 pandemic. This is especially true for a number of biotechs now working on developing a potential treatment for, or vaccine against, the virus; shares of such companies have largely surged over the past couple of months. Although many of these treatments and vaccines are still have quite a way to go before they're widely available, it's still worth taking some time to look through what's going on in the COVID-19 space right now. Here are five biotech stocks that are leading the way when it comes to addressing COVID-19. Regeneron Pharmaceuticals (NASDAQ:REGN) wasn't among the initial wave of companies to announce a potential COVID-19 drug. However, investor excitement quickly sent shares surging when the company announced that its rheumatoid arthritis drug, Kevzara, could help treat COVID-19 patients.

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Cell Out? Lysate-Based Expression an Option for Personalized Meds

Article | February 18, 2020

Cell-free expression (CFE) is the practice of making a protein without using a living cell. In contrast with cell line-based methods, production is achieved using a fluid containing biological components extracted from a cell, i.e., a lysate. CFE offers potential advantages for biopharma according to Philip Probert, PhD, a senior scientist at the Centre for Process Innovation in the U.K.

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Ruminating on Bioprocessing 4.0

Article | February 18, 2020

The Bioprocessing 4.0 concept seeks to apply automation and technology to the digital transformation of biologics manufacturing. As the paradigm moves forward, it faces barriers to its adoption, according to Eric Langer, president of BioPlan Associates. “Perhaps the greatest challenges involve unsecured links and adapting the applications to areas where automation is critically needed today,” says Langer. “Unresolved security issues could seriously affect a company’s data in a regulated environment, so they will need to have iron-clad anti-hacking protection in place. Unfortunately, cyber security is not yet a top focus for the industry.”

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Catabasis Pharmaceuticals, Inc.

We are a clinical-stage biopharmaceutical company focused on the discovery, development and commercialization of novel therapeutics based on our proprietary Safely Metabolized And Rationally Targeted, or SMART, linker technology platform.

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