To find a substance in nature that can treat a specific disease, it takes an average of about 12 years for the candidate to go from laboratory research to final marketing through continuous trials and trial and error. Therefore, we joked that the traditional drug development is actually a process of "seeking him in the crowd, but the person is in a dim light." According to the data, less than 12% of all drugs entering the clinical trial phase will eventually be available for sale.
In most cases, drug developers will use high-throughput screening methods to infinitely expand screening targets to target target compounds and increase the chances of drug discovery. Due to the high cost of continuous trial and error, more and more drug research and development companies have begun to introduce artificial intelligence to develop virtual screening technology to replace or enhance the traditional high-throughput screening process.
Through the use of artificial intelligence drug research and development systems, drug research and development companies can reduce manpower, time, material resources and other inputs in the process of drug research and development, and reduce drug research and development costs. At the same time, based on disease, medication and other data models, predict the safety, effectiveness, side effects, etc. in the drug development process. In addition, with the continuous integration of artificial intelligence and machine learning, drug R&D companies are expected to significantly achieve “de-risk†in the development of new drugs, and conservatively estimate that they will save about US$26 billion in R&D costs each year. At the same time, it will increase the efficiency of the global medical information field, saving the cost value of more than 28 billion US dollars per year.
Artificial intelligence and machine learning can be applied in different aspects of drug development, including new drug development, drug efficacy and safety prediction, building new drug molecules, screening biomarkers, and researching new combination therapies. From the global situation, the proportion of companies with artificial intelligence-assisted drug research and development is relatively high. Under the image of drug development with characteristics such as long development cycle, large investment, and high failure rate, the demand for industrial development is large, reaching 100 billion. Level market.
This article has compiled some typical companies that use artificial intelligence technology for research and development in the world.
BenevolentAI
Artificial intelligence for drug molecular mining
Founded in 2013, BenevolentAI is a company dedicated to the development and application of artificial intelligence technology. It is the largest AI startup in Europe and ranks fifth in the world. The company has built an artificial intelligence technology that is expected to develop new drugs faster and better. Their goal is to build the long-awaited “Pharmaceutical Enterprise 2.0â€, using artificial intelligence to help develop new drugs and avoid costly clinical development. The test failed.
The core technology of BenevolentAI is an artificial intelligence system called JACS (Judgment Augmented Cognition System). They believe that artificial intelligence can be used to combine people, technology and biology to focus on a large number of highly fragmented information around the world to accelerate scientific research and development. Since 2013, Benevolent AI has developed 24 drug candidates and has already entered the clinical Phase IIb trial.
Johnson & Johnson, one of the international pharmaceutical giants, has entered into a partnership agreement with BenevolentAI, which has licensed some of the experimental drugs that have entered the clinical phase to BenevolentAI, and BenevolentAI will use artificial intelligence systems to guide clinical trials and data collection.
Introduction:
The bulb of garlic,an allium plant in the lily family.with the pungent flavor and spicy taste.spherical shape with a diameter of 3-6.5cm. The surface is covered with white and papery-skin.
The top is slightly pointed, with residual scape in the middle,many fibrous root marks at the base. After peeling off the skin, a single head or 6 to 16 petal-shaped small bulbs, inserted around the base of the remaining flower stems. The bulbous valve is slightly ovoid, with a membranous outer skin, slightly pointed at the apex, and an arcuate bulge on one side.
In order to ensure the maximum freshness and nutrients.
We adhere to the traditional natural drying method without any human intervention.
Specification
Brand:Changrong
Variety:Liliaceous Vegetables
Color:Pure white/Normal white
Nutrition:
Manganese: 2% of the Daily Value
Vitamin B6: 2% of the DV
Vitamin C: 1% of the DV
Selenium: 1% of the DV
Fiber: 0.06 grams
Decent amounts of calcium, copper, potassium, phosphorus, iron and vitamin B1
Dried White Garlic,Dried Whole Garlic ,Dehydrating Whole Garlic Cloves,Dried White Garlic Flowers
shandong changrong international trade co.,ltd. , https://www.changronggarliccn.com