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3 results about "Stomach disease" patented technology

A condition that involves long term digestive complications due to abnormalities of the stomach.

A traditional Chinese medicine composition for treating chronic atrophic gastritis with intestinal metaplasia and a preparation method thereof

PendingCN122351370AStomach tumoursAngelica Sinensis Root
This invention belongs to the field of gastric disease treatment, specifically relating to a traditional Chinese medicine composition for treating chronic atrophic gastritis with intestinal metaplasia and its preparation method. The traditional Chinese medicine composition for treating chronic atrophic gastritis with intestinal metaplasia comprises the following raw materials in parts by weight: Agrimonia pilosa 10-15 parts, Cyperus rotundus 8-10 parts, Scutellaria barbata 10-15 parts, Lobelia chinensis 10-15 parts, Patrinia scabiosaefolia 13-17 parts, Scutellaria baicalensis 7-11 parts, Hedyotis diffusa 10-15 parts, Prunella vulgaris 10-15 parts, Hedyotis diffusa 5-7 parts, Perilla frutescens 8-10 parts, Coptis chinensis 5-7 parts, Angelica sinensis 5-7 parts, etc. This invention focuses on the core pathogenesis of damp-heat in the spleen and stomach and stagnation of gastric collaterals. The Chinese herbal composition has the effects of clearing heat and removing dampness, regulating qi and harmonizing the stomach, nourishing blood and unblocking collaterals. Clinically, it can significantly improve the OLGA / OLGIM stage of patients with chronic atrophic gastritis with intestinal metaplasia, with a total effective rate of 65.1%, providing a safe and effective Chinese medicine solution for precancerous lesions of the stomach.
Owner:BEIJING UNIV OF CHINESE MEDICINE THIRD AFFILIATED HOSPITAL

A traditional Chinese medicine composition for treating gastric diseases, a preparation method and application thereof

PendingCN122376688ASalvia miltiorrhizaBile Juice
The present application relates to the technical field of traditional Chinese medicine, and discloses a traditional Chinese medicine composition for treating stomach diseases, which is prepared from 23-25 grams of lily, 8-10 grams of magnolia officinalis, 8-10 grams of corydalis, 5-7 grams of melia toosendan, 5-7 grams of galangal, 8-10 grams of rhizoma cyperi, 23-25 grams of fried white peony root, 5-7 grams of licorice, 5-7 grams of coptis, 1-3 grams of evodia, 10-14 grams of salvia miltiorrhiza, 2-4 grams of sandalwood, and 5-7 grams of amomum villosum. The traditional Chinese medicine composition for treating stomach diseases is prepared by mixing the above-mentioned raw materials, adding 400 ml of water, boiling, and then continuing to decoct for 30 minutes, filtering the extracted medicinal liquid, adding 400 ml of water to the residue, boiling, and then continuing to decoct for 30 minutes, filtering the extracted medicinal liquid, and combining the two times of extracted medicinal liquid. The traditional Chinese medicine composition for treating stomach diseases is used for treating bile regurgitation gastritis of the type of liver depression and blood stasis, and has the effects of regulating cold and heat and regulating qi and blood.
Owner:ZHEJIANG ZANGQIGE PHARMACEUTICAL CO LTD

A traditional Chinese medicine spleen and stomach disease entity relationship extraction and knowledge graph construction method

PendingCN122348078AMedicineAbdomen diseases
This invention relates to the field of medical natural language processing and knowledge graph construction, and particularly to a method for entity relation extraction and knowledge graph construction for traditional Chinese medicine (TCM) spleen and stomach diseases. The method includes: S1, constructing a training corpus; S2, constructing a joint entity relation extraction model; S3, initializing the joint entity relation extraction model with BERT and RoBERTa pre-training parameters respectively, and training it using the training corpus to obtain a first model and a second model; S4, preprocessing unlabeled text and inputting it into the first and second models respectively to obtain a first candidate triplet set and a second candidate triplet set; S5, fusing the first and second candidate triplet sets; S6, performing strong correlation screening; and S7, performing post-processing to obtain normalized triplets and importing them into a graph database to construct or update a TCM spleen and stomach disease knowledge graph. This method avoids error cascading and constructs a high-fidelity, low-redundancy, and interpretable TCM spleen and stomach disease knowledge graph.
Owner:CHONGQING JIAOTONG UNIV