htmlIn October, Qianshao Technology Special Training Camp entered the biopharmaceutical industry special topic. We analyzed the cutting-edge technological changes and the latest industrial trends of biopharmaceutical with you.
Today, the Science and Technology Outpost has summarized the main content of DPharm, one of the largest industry conferences in the clinical field, and sorted out the new technology trends observed by front-line clinical research experts.
The following is the content shared by experts at the meeting.
1. The clinical experience of patients is gradually being taken seriously
Technology sentry and everyone mentioned that when analyzing the entire process of biomedical development, a new model based on smart devices and telemedicine is emerging in the clinical stage.
Several topics have appeared on DPharm this year, focusing on how to use new technologies to improve the clinical stage patient experience and improve data management capabilities.
Well-known technology writer Malcolm Gladwell also made a personal sharing at the meeting, emphasizing the urgency of user experience improvement in the clinical stage.
The scattered clinical trial software platform and clinical services have also gradually become a new entrepreneurial field. Through remote technical support, American medical institutions have been able to recruit patients more easily in the recurrence of the new crown epidemic.
2.Artificial intelligence is being used to process unstructured data
This time at the DPharm conference, another central topic is the processing of unstructured data.
The clinical stage patient data is related to the success of new drugs and new therapies, and is very important information. However, this aspect involves a large number of new indicators and traditional experimental institutions, resulting in poor data structure.
CEO of Verana Health, a healthcare technology and analysis company, mentioned at the conference that more than 80% of clinical healthcare data are unstructured, and there are even many non-electronic data such as paper notes.
These unstructured data can only be abandoned in traditional processing processes, or it can be re-censored with expensive manpower. However, with the application of artificial intelligence, some difficult-to-process data can also be processed automatically.
This may be the least valued potential market for artificial intelligence, and the information mined from this data is likely to significantly improve clinical research and decision-making.
3. New technology allows everyone to access clinical technology
Another two highly-attended keynote speeches at this conference were "Using digital health technology to improve patients' access to clinical trials" and "Using digital biomarkers and capturing real-world data from continuous wearable sensors".
is different from the past when everyone was worried about privacy supervision. The public opinion trend at this conference basically guided the application of new technologies. Many clinical researchers and companies believe that clinical research has an obligation to provide patients with richer technical support.
This not only helps collect more patient data, but also is responsible for the health of patients during treatment. Interestingly, some researchers also mentioned that new technologies also allow some technologies with less side effects to be provided to more people.
As the degree of new technologies being accepted by the society has increased, the spread of new technologies in more fields is an inevitable trend. The application of these technologies in clinical research is not only a sign of technological change in the pharmaceutical industry, but also a small sign of the spread of the whole society.
4. Clinical trials are becoming more and more objective
In fact, this trend can also be seen along the above summary. As more data and technology for processing data are used, many judgments in the clinical stage will no longer depend on human experience, and researchers can focus more on discovering and solving problems.At the
conference, Dr. Jacob Donoghue, CEO and co-founder of Beacon, shared their technology applications, applying artificial intelligence to EEG analysis, helping to find hidden dangers of neurological diseases more accurately.
Neurology and psychiatry clinical trials have long lacked data quality and quantity because they rely on subjective endpoints, and today's success based on clinical research data will eventually transform into an automated diagnostic and adjuvant system.
Through artificial intelligence, a large amount of EEG data can be quickly analyzed, and a better understanding of brain and neurological diseases can be used to treat diseases such as epilepsy, major depression and other brain diseases.
or above is today's content. I hope you can gain something. If you like our program, please share it with your friends. This will be very helpful to us. See you tomorrow~
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