Changes and Challenges in the Industrial Microbiology Market

The Industrial Microbiology market is anticipated to grow in the forecast, owing to the factors such as growing demand for nutraceuticals and other fermented products, growth in R&D in the biopharmaceutical industry, drug developments researches, less costs in the industrial microbiology market, low labor sensitivity and adoption of process automation in industrial microbiology.

Industrial Microbiology refers to a branch of applied microbiology that attributes to the microorganism screenings for the production of pharmaceuticals, food and beverage, personal care products and other applications. 

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The “Global Industrial Microbiology Market Analysis to 2027” is a specialized and in-depth study of the biotechnology industry with a special focus on the global market trend analysis. The report aims to provide an overview of Industrial Microbiology market with detailed market segmentation by product, test type, end user and geography. The global Industrial Microbiology market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading Industrial Microbiology market players and offers key trends and opportunities in the market.

The global Industrial Microbiology market is segmented on the basis of product, test type and end user. Based on product the market is segmented into Equipment and Systems, Reaction Consumables, Laboratory Supplies. Based on test type the market is segmented into Sterility Testing, Microbial Limits Testing, Bio-burden Testing. Based on end user the market is segmented into Pharmaceuticals and Biotechnology, Food and Beverages, Agriculture and Environmental, Personal Care Products.

Market Leaders Mentioned are -

• Danaher
• Merck KGaA
• 3M
• Thermo Fisher Scientific Inc
• Bio-Rad Laboratories, Inc
• BD
• bioMérieux SA
• QIAGEN, Inc
• Novamed
• Sartorius AG

Source - The Insight Partners

How Artificial Intelligence Can Accelerate Drug Discovery

Artificial Intelligence has taken this world by storm, and medicine is no alien to the fact. From surgical robots to ingestible little bots, AI has firmly established its position to shape the future of the health sector. A fundamental shift is essential in the present paradigm in drug discovery, and artificial intelligence holds a clue to bring the pharmacy to a revolutionized new era. Can artificial intelligence discovers new drugs? Let’s find out.

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How AI helps in drug discovery process?

Current research is so vast that almost 10,000 publications are received daily, and it is humanly impossible to correlate, assimilate, and connect all data to produce a useful result. And we all know if it’s not done, a new hypothesis is equally difficult to create.

AI and machine learning had made it possible to gather data and analyze it first to extract “useful information” which is next under strict scrutiny of a panel of experts. Direct relationships between data and known facts are made, and unknown connections are founded. The validity of the proposed hypothesis is being judged by scientists and researchers and tested for the potential new mechanism of drug mechanism.

Apart from that, AI also offers mechanistic insight into a disease and provide new ways to tackle it. It can give an overall new target, and if used in “compound sense,” it allows us to tap into the larger chemical palette to pick our molecules. AI can also play a significant role in identifying any issues with security and efficacy with compounds much earlier than presently possible, thus saving time and resources which can be devoted to the cure of serious diseases. It can be used to build an affordable, sustainable and efficient pipeline of new medicines.

How AI and Drug Discovery are merging?

Artificial intelligence (AI) have successfully used in various areas, which include computer vision, speech recognition, and natural language processing. However, AI is now increasingly getting into the areas that need substantial domain expertise. The fields are biology, chemistry, and it also helps to lower the cost of drug discovery and drug development. Artificial intelligence is used in the drug discovery and development by growing the level of understanding of complex biology, managing drug design, and by assisting other more ordinary elements of pharmaceutical R&D and regulatory affairs. The application of AI decreases researches and development gap in the drug manufacturing process, and it helps in the targeted manufacturing of the drugs.

AI offers numerous benefits in the process of drug discovery and other developments. Some of the advantages of AI techniques include, it enhances the value of the product, makes the drug discovery faster, inexpensive, and more productive.

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Challenges in Machine Learning for Drug Discovery

Along with the various benefits offered by AI solutions in the drug discovery industry, there are also particular challenges. The safety of the drug is among the significant challenges faced in the drug discovery process. The information about the effects of drugs and calculating their side effects is a difficult job. Scientists and engineers from Roche and Pfizer are obtaining information from clinical data with the help of AI. Interpretation of this data in the context of drug safety is an active area of research.

The clinical trials are the most expensive stage of drug development. For reducing the costs, it is vital to use the previously gained experience of clinical trials in the early stages of drug development. The safety of the drug discovery is done in by the biomedical data from research experiments should be examined and interpreted with the help of machine learning for predicting a drug’s effects and side effects. And secondly, the data from clinical trials investigated with machine learning supports the explanation of biological data. The mentioned approaches have made it possible to design better preclinical experiments for the most effective therapies with minimal side effects. To decrease the risks associated with data storage, organizations have developed advanced AI systems that are capable of enhancing drug discovery.

What’s the Big Deal About Gene Therapy?

What is Gene Theraphy

Gene therapy is introduction of DNA into a patient to treat a genetic disease or a disorder. The newly inserted DNA contains a correcting gene to correct the effects of disease causing mutations. Gene therapy is promising treatment for the genetic diseases and also includes cystic fibrosis and muscular dystrophy. Gene therapy is suitable treatment for the infectious diseases, inherited disease and cancer.

Why is it Driving the Biotechnology Industry

Gene therapy has been around since the 1980s, but there has been a lot of research and work in this area since. In December 2017 the FDA approved two therapies for actual clinical use, so we're getting closer to these therapies being used in humans on a broader scale. It's taken a while because it's a very precise way of looking at medicine and  between the research dollars, time and effort required, it takes a while for a breakthrough like this to develop.

We're starting to see that diseases are being treated from where they originated, directly from the gene that's causing that abnormality. For example, there is a particular gene therapy that's been licensed in the UK used to treat a certain type of blindness and it correcting previously non-correctable blindness. How exciting is that? This is much more advanced than simply treating the symptoms of a disease

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The growth of the gene therapy market is regulated due to various reason which includes the rapid involvement of synthetically modified gene to treat various diseases, it helps in designing the personalized medicine, rise in the research and development of the gene therapy among the others. The gene therapy requires less doses of medicines and is one time treatment, this factor is likely to show growth opportunity for gene therapy market in coming near future.

North America is anticipated to dominate the gene therapy market in the global scenario owing to various factors such as reimbursement services, technological developments in the biotechnology industry and increasing research activities. Europe is the second largest market for the gene therapy as the various innovation are being done in this region. In 2016, European Union approved Zalmoxis for the treatment of leukemia. Asia Pacific is the fastest growing region as the studies are taking rapid pace for the biotechnological industry and increase in cardiovascular disease.. Owing to these factors the market are likely to propel the growth of the market for gene therapy market in coming future.

Top 10 Companies emerging in Gene therapy Industry are -

-Sangamo Therapeutics, Inc.
-bluebird bio, Inc.
-uniQure N.V.
-AveXis, Inc.
-Vineti
-Solid Biosciences.
-Spark Therapeutics, Inc.
-CHIMERON BIO
-RENOVA THERAPEUTICS
-HORAMA S.A.

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