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44 results about "Abnormal skin" patented technology

Interleukin-9 mutein peptides

InactiveUS7192578B2Elevated cell countNeed longerOrganic active ingredientsBacteriaTotal igeThreonine
A C to T DNA variation at position 3365 in exon 5 of the human Asthma Associated Factor 1 (AAF1) produces the predicted amino acid substitution of a methionine for a threonine at codon 117 of AAF1. When this substitution occurs in both alleles in one individual, it is associated with less evidence of atopic allergy including asthma, fewer abnormal skin test responses, and a lower serum total IgE. Thus, applicant has identified the existence of a non-asthmatic, non-atopic phenotype characterized by methionine at codon 117 when it occurs in both AAF1 gene products in one individual.
Owner:GENAERA CORP

Skin anti-ageing active composition

The invention discloses a skin anti-ageing skin composition. The skin anti-ageing skin composition comprises the following components: components A which comprise 0.50-10.0 parts by weight of collagen, 20-40 parts by weight of glycerinum, 3-8 parts by weight of hydrolyzed rice protein and 3-8 parts by weight of sweet almond seed extract, and components B which comprise (based on the weight of the components (A) 1000IU / g-50000IU / g of sodium hyaluronate and 100 IU / g-5000 IU / g of keratinocyte growth factor. The skin anti-ageing skin composition disclosed by the invention is free of side effect, can be used for effectively improving the couperose skin, repairing skin injury, promoting production of novel cells and resisting skin aging, and has obvious scar-removing and radiation-preventing effects, so that the skin is tender and perfect, and therefore, abnormal skin manifestations such as stains and hyperpigmentation can be eliminated; besides, the skin anti-ageing active composition can be independently used or added with other components for being processed into various skincare products or cosmetics.
Owner:广州宝生堂医药生物科技有限公司

Traditional Chinese medicine composition for treating dry and cracked skin

The invention relates to a traditional Chinese medicine composition for treating dry and cracked skin. The traditional Chinese medicine composition is prepared from raw medicinal materials in parts byweight as follows: 10-15 parts of angelica sinensis, 10-15 parts of radix salviae miltiorrhizae, 10-15 parts of bletilla striata, 10-15 parts of radix arnebiae, 10-15 parts of ligusticum wallichii, 10-15 parts of radix angelicae, 40-60 parts of beewax and 60-90 parts of sesame oil. The traditional Chinese medicine composition is prepared from selected raw materials, is reasonable in compatibilityand has complementary effects; and clinic application indicates that the traditional Chinese medicine composition has a good curative effect on the dry and cracked skin, the cure rate is 85.4%, and the total effective rate is 98.8%. The traditional Chinese medicine composition is a pure traditional Chinese medicine product, has sufficient medicinal herbs resources and simple prescription, is convenient to use, mild in medicinal property, safe, non-irritant, low in treatment expense and takes effect quickly, a patient suffers little pain and has no obvious abnormal skin reaction, and the traditional Chinese medicine composition is easily accepted by the patient.
Owner:PEOPLES HOSPITAL OF HENAN PROV

Image-processing-based evaluation method for scar treatment effect

The invention relates to an image-processing-based evaluation method for a scar treatment effect. The method comprises: (1), a scar image before treatment, a scar image after treatment, and a image of an abnormal skin adjacent to the mark before treatment of a patient are obtained; (2), pretreatment is carried out on the obtained images respectively to obtain a scar RGB image before treatment, a scar RGB image after treatment, and a normal skin RGB image; (3), the scar RGB image before treatment and the scar RGB image after treatment after the pretreatment are registered to obtain a registered scar RGB image after treatment; (4), calculation is carried out to obtain that mutual information between the scar RGB image before treatment and the normal skin RGB image is I(A,B) and that mutual information between the registered scar RGB image after treatment and the normal skin RGB image is I (C,B); and (5), whether the I (C,B) is larger than I(A,B) is determined; if so, the treatment effect is good; and otherwise, the treatment effect is poor. Compared with the prior art, the method has advantages of reliable evaluation result, high repeatability, and high practicability and the like.
Owner:SHANGHAI UNIVERSITY OF ELECTRIC POWER

Image processing method and device for abnormal skin

ActiveCN105913389BBeauty close to natureBeauty preservationImage enhancementImage analysisAbnormal skinBeautification
The invention relates to a picture processing method and device when skin is abnormal. The method includes the steps of: performing portrait recognition on the picture to obtain the portrait area; dividing the portrait area into each area to be processed according to each sub-area of ​​a preset feature database, where the preset feature database stores the information contained in each sub-area. Information on each abnormal skin feature, and processing methods corresponding to each abnormal skin feature; compare the skin feature information in each area to be processed with the information on each abnormal skin feature contained in the corresponding sub-region, and obtain each abnormal skin feature to be processed Abnormal skin features contained in the area; according to the processing method corresponding to each abnormal skin feature, the abnormal skin features contained in each area to be processed are processed accordingly. The invention performs beautification treatments for different skin symptoms, making skin beautification closer to nature.
Owner:GUANGDONG OPPO MOBILE TELECOMM CORP LTD

Scar repairing cream

The invention relates to a scar repairing cream. The scar repairing cream is prepared from a component A, a component B, a component C, a component D and a component E which are mixed at weight ratio,wherein the component A is capable of cooling blood, moistening and softening skin; the component B is capable of promoting circulation, removing stasis and resolving hard lump; the component C is capable of damaging DNA duplication, restraining the forming and differentiation of abnormal fibroblast and killing differentiated abnormal skin cells; the component D is capable of activating the recovery of blood capillaries in the zone and improving scar microcirculation; the component E is capable of motivating the forming of melanophore, dredging of stasis and growth of hair. The scar repairingcream is capable of eliminating the scar symptom by relieving itch and pain, sterilizing, diminishing inflammation, dispersing blood stasis and swell, activating blood, generating vigor, dredging, growing hair, killing fibroblasts and keratinocytes and stimulating the forming of skin cell melanin. The course of treatment is short, the curative effect is excellent and the cost is low.
Owner:赵升瑞

Medical image recognition method, system, equipment and medium

The invention provides a medical image recognition method, system and device and a medium, and relates to the technical field of artificial intelligence. The method comprises the following steps: acquiring a to-be-identified medical image, age information and gender information transmitted by a target user; performing human body part prediction identification and skin prediction identification on the to-be-identified medical image; if the abnormal skin exists in the to-be-identified medical image, continuing abnormal category prediction, and outputting a plurality of predicted abnormal categories; and according to the human body part prediction identification result, the age information and the gender information, rechecking the plurality of prediction abnormity categories, and feeding back the rechecked prediction identification result to the target user; and if the skin does not exist in the medical image to be recognized or the normal skin exists in the medical image to be recognized, directly feeding back an image prediction recognition result to the target user. According to the method, firstly, the to-be-identified medical image is subjected to multi-stage prediction identification, and then the image prediction identification result is rechecked, so that the accuracy of performing abnormal category prediction on the to-be-identified medical image can be improved.
Owner:PING AN TECH (SHENZHEN) CO LTD
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