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European Radiology: AI-assisted biparametric MRI prostate cancer surveillance
Time of Update: 2023-01-04
Recently, a study published in the journal European Radiology evaluated the feasibility of artificial intelligence-assisted biparametric MRI (bpMRI) in automatically detecting csPCa, providing technical support for faster and more accurate clinical diagnosis of PCa. This retrospective study included 1513 patients who underwent bpMRI (T2+DWI) between 2014 and 2020, of whom 73 received at least two consecutive bpMRI scans and repeat biopsies.
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Cloud computing accelerates AI-assisted drug discovery (AIDD), and drug R&D has fully entered the "AI era"
Time of Update: 2022-10-20
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Tiannan Guo's team at Westlake University developed AI artificial intelligence combined
Time of Update: 2022-09-21
Figure 4: Global proteome expression of 579 thyroid FFPE samples In order to establish an AI model based on protein characteristics for distinguishing the good and false judgment of thyroid nodules, the researchers first selected protein features by genetic algorithms combined with neural network models from 579 thyroid samples in the discovery set dataset, and then trained the self-constructed model and verified the model in an independent test set.
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AI-assisted judgment glaucoma was approved, and Tencent became the first Internet technology
Time of Update: 2022-09-08
Tencent Miying provides doctors with auxiliary advice on the diagnosis of glaucomaIn addition, this innovative medical device product also provides a quality control method for fundus camera imaging, which can automatically identify common fundus image quality problems in clinical practice, such as non-fundus images, large-area fouling and refractive interstitial turbidity, effectively improving the accuracy and confidence of auxiliary diagnosis, and is expected to solve the problem of insufficient medical resources faced by glaucoma diagnosis in China.
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Another breakthrough in AI-assisted breast cancer screening!
Time of Update: 2022-08-19
▲If you have any business needs, please long press to scan the QR code above, or▎Edited by WuXi AppTec Content TeamIn recent years, with the improvement of living standards, people pay more and more attention to health, and early cancer screening is also accelerating the popularization .
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LANXESS plans AI-assisted formulation development for polyurethane systems
Time of Update: 2022-08-18
As a specialty chemicals company, LANXESS has launched a project to expand its range of prepolymer products, with the goal of offering customers tailor-made polyurethane systems with shorter lead times and different applications in completely new fields of application demand .
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AI-assisted development of "old drug new use" approved by FDA
Time of Update: 2022-04-17
S. Food and Drug Administration (FDA) has approved Igalmi (dexmedetomidine) sublingual film for the acute treatment of agitation associated with schizophrenia or bipolar I/II disorder .
Retrieved April 6, 2022, from https:// news-release/2022/04/06/2417422/0/en/BioXcel-Therapeutics-Announces-FDA-Approval-of-IGALMI-dexmedetomidine-Sublingual-Film-for-Acute-Treatment-of-Agitation-Associated-with- Schizophrenia-or-Bipolar-I-or-II-Disorder-in-.
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AI-assisted development of protein degraders Merck and CelerisTx reached R&D cooperation
Time of Update: 2022-03-08
On February 9, 2022, CelerisTx announced a research collaboration agreement with Merck KGaA, Germany, to use CelerisTx's graph-based artificial intelligence (AI) technology platform to discover and design novel small molecule binders and bifunctional protein degradation agent .
Retrieved February 9, 2022, from https:// menlo-park-ca-february-9-2022-celeristx-in-artificial-intelligence-research-collaboration-with-merck-kgaa-darmstadt-germany-on-ai-enabled-degrader-discovery/[3] Merck KGaA enlists little AI player on protein degrader discovery.
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Sci Adv Yin Yuxin's team successfully developed a new method of AI-assisted metabolomics diagnosis of pancreatic cancer
Time of Update: 2022-01-09
Research thesis, apply machine learning combined with lipidomics and multi-omics technology to comprehensively analyze the metabolic characteristics of pancreatic ductal adenocarcinoma (pancreatic cancer), develop a set of artificial intelligence-assisted PDAC serum metabolism detection methods, and display related molecules Mechanism .
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Science Advances: Peking University Yin Yuxin's team develops a new method of AI-assisted metabolomics diagnosis of pancreatic cancer
Time of Update: 2022-01-08
Recently, Professor Ki Bun new team at Peking University School of Basic Medical Science Advances Online published a report entitled: Metabolic and Detection Systems Analyzes of pancreatic ductal adenocarcinoma through Machine Learning, lipidomics, and Multi-OMICS research papers .
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BMS has two billion-dollar transactions in two days to introduce new drugs and expand AI-assisted new drug R&D cooperation
Time of Update: 2021-07-29
In March 2019, Xinji (later acquired by BMS) reached a three-year cooperation with Exscientia to jointly explore the use of AI discovery and Research and development of tumor and immune drugs .
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BMS has two transactions exceeding one billion US dollars in two days, introducing new drugs and expanding AI-assisted new drug R&D cooperation
Time of Update: 2021-06-30
In March 2019, Xinji (later acquired by BMS) reached a three-year cooperation with Exscientia to jointly explore the use of AI discovery and Research and development of tumor and immune drugs .
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The accuracy rate is nearly 90%, and Harvard's new AI system successfully assists in the diagnosis of skin cancer earlier
Time of Update: 2021-04-28
The new system successfully distinguished SPL from the non-suspicious lesions in the patient's skin photos, and included an "ugly duckling" standard for the first time, making its evaluation results 88% consistent with the consensus of the three dermatologists.
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The accuracy rate is nearly 90%, and Harvard's new AI system successfully assists in the diagnosis of skin cancer earlier
Time of Update: 2021-03-27
The new system successfully distinguished SPL from the non-suspicious lesions in the patient's skin photos, and included an "ugly duckling" standard for the first time, making its evaluation results 88% consistent with the consensus of the three dermatologists.
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JAMA Netw Open: Multi-factor AI-assisted decision-making tool helps to develop better treatment plans for patients with advanced knee osteoarthritis
Time of Update: 2021-03-21
Secondary outcomes are collaborative decision-making, patient satisfaction with consultation, knee injury and osteoarthritis prognosis score joint replacement (KOOS JR) score, consultation time, TKR rate, and treatment consistency.