How does artificial intelligence help the development of new drugs? Academicians explain opportunities and challenges

Release time:Apr 23, 2024 23:28 PM

Artificial intelligence will bring more hope to the research and development of new drugs. According to Yingsi Intelligent's "2022 Artificial Intelligence Drug Research and Development White Paper", in the past five years, artificial intelligence technology has greatly enhanced the efficiency of new drug research and development, and the drug screening time has been reduced from five years to three. In 2017, the clinical success rate increased from 12% to 14%. Today, at the 2023 "Chunsheng Cup" Medical Innovation Talent Competition Award Ceremony and Shanghai Medical Innovation Forum organized by the Municipal Health Commission, Professor Chen Kaixian, an academician of the Chinese Academy of Sciences, brought data and said that artificial intelligence helps the research and development of new drugs, and will also be used in traditional Chinese medicine compound formulations in the future. Research and other areas continue to be explored.

To develop the biomedical industry in our country, strengthening original innovation in new drug research is key. In the keynote speech of the forum, Academician Chen introduced: Original innovation is to achieve a breakthrough "from 0 to 1", open up a new track, and sort out the connotation of original innovation, which mainly includes new treatment concepts and strategies, new targets, new mechanisms, new technologies, and new structural types. , new indications, new dosage forms and drug delivery systems, etc.

In recent years, the R&D investment of innovative biopharmaceutical companies has grown very rapidly, with some even exceeding that of large traditional comprehensive pharmaceutical companies, and their pipelines under research and development have also gradually enriched. Judging from the R&D investment of listed pharmaceutical companies in 2022, BeiGene, Hengrui Pharmaceuticals, Fosun Pharma, CSPC Pharmaceutical Group, and Chi-Med Pharmaceuticals rank among the top five. Among the pipelines of the top 20 innovative biopharmaceutical companies in my country that invest in R&D, they are still dominated by Phase I and Phase II, which have not yet reached the harvest period. Among them, clinical phase I accounts for 44.92%, clinical phase II accounts for 20.52%, and clinical phase III accounts for 44.92%. Compared with 12.38%, another 3.14% applied for listing and 16.54% have been approved for listing.

Academician Chen believes that artificial intelligence technology has great potential in assisting drug research and development. Taking the technological innovation of traditional Chinese medicine compound research as an example, development faces three key technical problems: identification technology of active ingredient groups, technology evaluation technology of efficacy-effect correlation of active ingredient groups, and quantitative formulation design technology of active ingredient groups. He said that drug mixtures are often more effective than individual drugs, but due to the extremely large number of possible combinations and the extremely complex biological action network, it is very challenging to determine a potent drug combination through "trial and error", and The above problems can be solved by using artificial intelligence.

In innovative drug research and development, artificial intelligence technology can participate in the entire process. Specifically, it ranges from discovering disease mechanism targets, predicting protein structures, discovering biomarkers, optimizing drug structures, and predicting drug activity, to optimizing antibodies, establishing drug knowledge maps, and even patient disease progression and predicting clinical success rates. For this reason, McKinsey & Company predicts that one of the top ten development trends of artificial intelligence is that new drugs and treatments can be obtained quickly and at low cost through artificial intelligence technology.

Nowadays, generative artificial intelligence models have been explored in drug research and development. Academician Chen believes that some ethical considerations should also be treated with caution. For example, generative artificial intelligence can indeed achieve faster and better innovation, but it has certain limitations in drug research and development, and data quality, multi-modality, accessibility and privacy protection face challenges; in addition, the explanation ability of large models, Credibility requires sufficient evidence. Data sample collection has its limitations. Whether it complies with regulations and ethics is also worthy of scrutiny.

Looking to the future, the application of artificial intelligence technology in drug research and development can be more widely explored. For example, generative artificial intelligence combined with automation technology can complete the efficient and precise synthesis and continuous manufacturing of drug molecules; another example is simulated clinical processes and digital drug research and development, etc.

At the forum, Zhang Jie, chief technology officer of Shanghai MicroPort Medical Devices Co., Ltd., also gave a keynote speech. Professor Ge Junbo, academician of the Chinese Academy of Sciences, Xue Yueqiang, vice president of R&D of Biomedical Greater China, Yu Yeheng, senior vice president and chief brand officer of Shanghai United Imaging Medical Technology Co., Ltd., Ji Dongmei, founding management partner of Gimpo Health Fund, Shanghai Huitian Medical Technology Co., Ltd. The company's CEO and founder Lin Lin and the 2023 "Chunsheng Cup" first prize winner Zhao Jie, director of the Department of Orthopedics of the Ninth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, attended the roundtable forum.

It is reported that the "Chunsheng Cup" Medical Innovation Talent Competition is one of the activities of the 2023 Shanghai International Biomedical Industry Week. Since it was first held last year, it has received widespread attention and active participation from all walks of life. This year's competition attracted 182 project registrations from 66 universities and medical and health institutions. After the preliminary round, semi-finals and finals, a total of 12 projects were selected for first, second and third prizes. At the same time, the meeting held the awarding of the Intellectual Property Operation Center of the Shanghai Medical and Health System, the appointment of representatives of the "Offshore Medical Upgrading" special enterprise think tank, and the release of the 2023 "Offshore Medical Upgrading" clinical research project.

The relevant person in charge of the Municipal Health Commission said that they will also organize medical enterprise matchmaking meetings to build a service bridge between industry, academia, and research, further smoothen the interaction channels between medical enterprises, and provide professional technical services such as technology evaluation of patent results, technology intermediary, and transformation process policy consultation. , to achieve accurate docking of projects and capital.

How does artificial intelligence help the development of new drugs? Academicians explain opportunities and challenges

Shanghai doctors visit Wannan Farm to provide health care to retired elderly people

On the Double Ninth Festival, we express our sincere respect for the elderly. Recently, the Shanghai Elderly Foundation, Guangzheng New Vision Eye Hospital Group, and Guangming Food Co., Ltd. joined hands with the "Wannan Farm Charity Tour" to visit Baimaoling Farm and Juntian Lake Farm to provide free medical services to local retired elderly people, and at the same time send them cold-warming and Nursing products, warm the body and mind of the elderly through acts of kindness. In the square of Juntian Lake Farm Community Service Center in the early morning of autumn, retired elderly people lined up early in the morning, waiting for inspection. Medical staff have set up free clinics here to conduct detailed examinations for the elderly, answer questions on-site about common eye diseases such as cataracts, glaucoma, dry eye, and pterygium, and provide precautions for patients who need treatment. On the same day, elderly people with dry eye symptoms also experienced a dry eye mist fumigation project. “The biggest worry for us seniors is that it’s difficult to see a doctor. Doctors and nurses work tirelessly to come to our homes for free clinics.

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A 7-year-old boy named Lele had a protruding chest and mistakenly thought it was a "chicken chest", but in reality, he concealed a huge tumor that occupied half of his chest, like a "bomb", close to the heart and large blood vessels, posing a life-threatening danger at any time. Lu Yanan, the director of the Pediatric Heart Center at Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, skillfully removed a tumor weighing up to 1 kilogram in just 5 hours. Xiao Lele has recently recovered and been discharged from the hospital. The boy's "chicken chest" turned out to be a huge tumor. Not long ago, Lele's parents found that his chest had obvious protrusions and sought medical attention locally. The doctor initially suspected it to be a "chicken chest" and could continue to observe or wait for surgery. However, they still have some doubts in their hearts, why are children always so thin that they can't gain weight no matter how they eat? So they continued to seek medical attention with Lele, and a CT scan revealed that,

How to diagnose the "killer" of sudden death in young people? Zhongshan Hospital first proposed the results of "Gene Echocardiography" in an authoritative journal titled "Hypertrophic Type | Echocardiography Room | Gene"

The silent killer hidden behind the sudden collapse of young people is likely hereditary hypertrophic cardiomyopathy, which is one of the most common causes of sudden death in young people. How to accurately diagnose this disease and save more young lives? Recently, Professor Shu Xianhong's team from the Ultrasound Department of Zhongshan Hospital affiliated with Fudan University published their research findings in the international authoritative academic journal of cardiovascular disease, the Cardiovascular Imaging Sub Journal of the European Journal of Cardiology, stating that genetic echocardiography significantly improves the diagnostic efficiency of hereditary hypertrophic cardiomyopathy. The team first proposed the concept of "gene cardiac ultrasound" internationally, innovatively drawing a gene cardiac ultrasound map of hypertrophic cardiomyopathy. This plan will significantly improve the accuracy and efficiency of diagnosis. It is reported that hypertrophic cardiomyopathy is the most common inherited heart disease and also the most complex type of disease. This disease is the main cause of sudden death in young people

First, become a "patient": Dongfang Hospital's "Outpatient Service Experience Officer" has been launched, aiming to become a doctor, patient, hospital, and outpatient

At 9 a.m. on July 26, five young people in the outpatient hall of the North Hospital of Shanghai Oriental Hospital put on volunteer "blue vests". Unlike other volunteers in the hospital, their other identity is the hospital's digestive endoscopy center. After work, he joined the hospital volunteer team and played a special role-as an "outpatient service experience officer" to conduct hospital service satisfaction surveys. This creative setting is one of the projects in the special work of Oriental Hospital to improve its service throughout the year. In the hot summer, the hospital through a number of intentional initiatives to help re-optimize the diagnosis and treatment services. To be a doctor, first learn to be a "patient" clinic is the first "window" of hospital medical work ". In May this year, the National Health Commission and the State Administration of Traditional Chinese Medicine jointly issued the theme of "Improving Medical Experience and Enhancing Patient Experience".

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