Medical institutions, with their clinical practice foundation and abundant human use experience data, have become important carriers for the inheritance and innovation of traditional Chinese medicine(TCM) and the "cradles" of the preparation of new TCM. To effectively promote the transformation of new TCM originating from the TCM clinical practice in medical institutions and establish an effective evaluation index system for the transformation of new TCM conforming to the characteristics of TCM, consensus experts adopted the literature research, questionnaire survey, Delphi method, etc. By focusing on the policy and technical evaluation of new TCM originating from the TCM clinical practice in medical institutions, a comprehensive evaluation from the dimensions of drug safety, efficacy, feasibility, and characteristic advantages was conducted, thus forming a comprehensive evaluation system with four primary indicators and 37 secondary indicators. The expert consensus reached aims to encourage medical institutions at all levels to continuously improve the high-quality research and development and transformation of new TCM originating from the TCM clinical practice in medical institutions and targeted at clinical needs, so as to provide a decision-making basis for the preparation, selection, cultivation, and transformation of new TCM for medical institutions, improve the development efficiency of new TCM, and precisely respond to the public medication needs.
Medicine, Chinese Traditional/standards* ; Humans ; Consensus ; Drugs, Chinese Herbal/therapeutic use* ; Surveys and Questionnaires

Advancements in artificial intelligence (AI) and emerging technologies are rapidly expanding the exploration of chemical space, facilitating innovative drug discovery. However, the transformation of novel compounds into safe and effective drugs remains a lengthy, high-risk, and costly process. Comprehensive early-stage evaluation is essential for reducing costs and improving the success rate of drug development. Despite this need, no comprehensive tool currently supports systematic evaluation and efficient screening. Here, we present druglikeFilter, a deep learning-based framework designed to assess drug-likeness across four critical dimensions: 1) physicochemical rule evaluated by systematic determination, 2) toxicity alert investigated from multiple perspectives, 3) binding affinity measured by dual-path analysis, and 4) compound synthesizability assessed by retro-route prediction. By enabling automated, multidimensional filtering of compound libraries, druglikeFilter not only streamlines the drug development process but also plays a crucial role in advancing research efforts towards viable drug candidates, which can be freely accessed at https://idrblab.org/drugfilter/.

Objective To investigate the clinical efficacy of repairment using ear endoscope for small perfo-ration of the tympanic membrane after traditional tympanoplasty.Methods A retrospective analysis of 42 cases of repairment using ear endoscope for small perforation of the tympanic membrane after traditional tympanoplasty was investigated.Adipose tablet of earlobe to repair small perforation or perichondrium of hircus for medium perforation was used.Results The success rate after one repairment of small perforation was 82.76%(24 /29).The success rate for medium perforation was 61.54%(8 /13).9 cases received the repairment for 2 times or even more to heal the tym-panic membrane.The mean improvement of air conduct at language frequency was 20.03dB by 6 months after the successful operations (t =1.98,P <0.05)and air bone guide.The mean difference between the air conduct and bone conduct decreased as much as 19.82dB (t =1.86,P <0.05)with statistical significance.Conclusion The success rate was high to repair the perforation using ear endoscope after traditional tympanoplasty.The hearing was improved obviously and the patients were very compliant.