952 results about "Dosing regimen" patented technology

Antibody formulations are described comprising a mixture of an anti-α4β7 antibody, an antioxidant or chelator, and at least one free amino acid. The disclosed formulations may have improved stability, reduced aggregate formation, or both. The present invention further provides a safe dosing regimen of these antibody formulations that is easy to follow, and which results in a therapeutically effective amount of the anti-α4β7 antibody in vivo.

The invention relates to the technical field of tumor treatment, in particular to an intelligent decision-making system for tumor precise targeted medication based on individual mutation information, which comprises a data processing layer, a variation annotation and function prediction layer, a knowledge base integration layer and a scheme decision-making engine and report visualization module. According to the intelligent decision-making system for tumor precise targeted medication based on individual mutation information, a rule engine and a prediction model are combined, dynamic priority ranking is output, multi-model fusion decision making is achieved, and clinical scene deep adaptation is achieved by predicting primary and secondary drug resistance, calculating liver and kidney function adjusting dosage and generating a combined medication time sequence scheme; through an individualized drug delivery scheme, combination drug use optimization is achieved, a visual clinical report is generated, clinical executable operation is further strengthened, and through algorithm quantification, a dynamic knowledge graph, AI auxiliary decision making and a clinical operation closed loop, the next-generation technical research direction of a tumor precise drug use system can be represented.

Methods for maintaining clinical remission of ulcerative colitis in a human patient are described comprising administration of an antibody that has binding specificity for human alpha4beta7 integrin using a safe dosing regimen of these antibody formulations that is easy to follow, and which results in a therapeutically effective amount of the anti-alpha4beta7 antibody in vivo.

Antibody formulations are described comprising a mixture of a non-reducing sugar, an anti-α4β7 antibody and at least one amino acid. The disclosed formulations have improved stability, reduced aggregate formation, and may retard degradation of the anti-α4β7 antibody therein or exhibit any combinations thereof. The present invention further provides a safe dosing regimen of these antibody formulations that is easy to follow, and which results in a therapeutically effective amount of the anti-α4β7 antibody in vivo.

Antibody formulations are described comprising a mixture of a non-reducing sugar, an anti-α4β7 antibody and at least one amino acid. The disclosed formulations have improved stability, reduced aggregate formation, and may retard degradation of the anti-α4β7 antibody therein or exhibit any combinations thereof. The present invention further provides a safe dosing regimen of these antibody formulations that is easy to follow, and which results in a therapeutically effective amount of the anti-α4β7 antibody in vivo.

The invention provides a chronic disease co-patient accurate medication real-time management system based on an AI large model, and the system comprises accurate medication guided by the AI large model, through the mathematical modeling and simulation technology, the related information of patients, medicines and diseases is integrated, and accurate medication is guided. According to the method, the administration scheme can be formulated more accurately, the curative effect is improved, side effects are reduced, a patient medication report is provided for physicians and pharmacists, the physicians and pharmacists can dynamically master patient medication information in real time, reference is provided for the physicians to formulate the next medication scheme, and the treatment effect on chronic disease patients is improved.

Antibody formulations are described comprising a mixture of an anti-α4β7 antibody, an antioxidant or chelator, and at least one free amino acid. The disclosed formulations may have improved stability, reduced aggregate formation, or both. The present invention further provides a safe dosing regimen of these antibody formulations that is easy to follow, and which results in a therapeutically effective amount of the anti-α4β7 antibody in vivo.

Provided herein are variant α4β7 integrin antibodies and methods of use.

The invention provides an automatic determination method and system for an individualized medication adjustment dosage, and the method comprises the steps: calculating an initial administration scheme through employing a weighting result of a first atrioventricular model and a second atrioventricular model based on the physiological data and medication types of a patient; meanwhile, when the initial administration scheme of the patient is poor in effect or has adverse reaction, the administration scheme of the patient is adjusted. Compared with the prior art, the method has the advantages that the medication dosage can be accurately predicted and adjusted, adjustment suggestions can be given in real time through a feedback mechanism, and the safety and the curative effect of individualized medication are ensured.

The disclosure provides a dosing regimen utilizing an oral extended release formulation for the treatment of treatment-resistant depression and treatment-resistant anxiety.

The present invention provides a method for increasing glycemic control in a patient in need thereof, by administering tirzepatide, or a pharmaceutically acceptable salt thereof. The present invention provides a method for improving weight management in a patient in need thereof, by administering tirzepatide, or a pharmaceutically acceptable salt thereof. Further providing a method for treating a condition selected from atherosclerosis, chronic kidney disease, NAFLD, and NASH. Further provided is a method to prevent or induce remission of diabetes comprising administration of tirzepatide, or a pharmaceutically acceptable salt thereof. Further provided is a dosing regimen for increasing glycemic control, improving weight management, and / or treating dyslipidemia.

The present disclosure provides methods and dosing regimens for the treatment of depression (e.g., treatment resistant depression) with a mucoadhesive composition comprising N, N-dimethyltryptamine (DMT) or a pharmaceutically acceptable salt thereof.

The present invention relates to stable and low viscosity liquid pharmaceutical compositions comprising antibodies binding to human alpha synuclein and to methods for use of antibodies binding to human alpha synuclein for treating synucleinopathies or prodromal synucleinopathy, incl. suitable doses and / or dosing regimens. These antibodies for use in treatment of synucleinopathies or prodromal synucleinopathy may be formulated in the stable and low viscosity liquid pharmaceutical compositions of the invention.

The invention provides oral dosing regimens of controlled release levodopa compositions for use in treating patients with Parkinson's disease.

The invention provides a drug screening and curative effect evaluation method and system based on a glioma organ-like model, and relates to the technical field of biological material analys.The method includes the steps that a three-dimensional fluorescence image of the glioma organ-like model is collected, signal intensity analysis and compensation processing are carried out, a growth feature mapping model is constructed, and the three-dimensional fluorescence image of the glioma organ-like model is obtained; and phenotypic characteristics for representing the glioma organoid heterogeneity are obtained. Inputting the phenotypic characteristics into a drug response evaluation network, and calculating a drug sensitivity score; the drug molecular feature library and the drug collaborative analysis model are combined, the synergistic interaction index of different drug combinations is calculated, the optimal drug combination is screened, the drug administration dosage and the drug administration time sequence are determined in combination with phenotypic features, and finally an individualized treatment scheme is generated. According to the invention, the curative effect of the drug on the glioma organs can be effectively evaluated, and the optimal drug combination and administration scheme can be screened out, so that the accuracy and effectiveness of glioma treatment are improved.

The invention relates to a deep learning method-based pharmacokinetics-pharmacodynamics and reinforcement learning-based propofol administration method and application thereof, a PKPD model is used for simulating the metabolic process of propofol in a human body, and a time dependency relationship and dynamics continuous information are extracted through LSTM and Neural OED; then a nonlinear relation between the propofol drug effect concentration and a clinically observed anesthesia depth index BIS is established through a Kan network, mapping between monitoring information and the anesthesia depth in an operation is rapidly established, a strategy is adjusted in time according to environment changes, and the method is suitable for processing non-standardized complex problems and has good application prospects. And the dosage and the administration scheme of the medicine are individually adjusted, so that the treatment effect is improved.

In some aspects, the present invention provides cell-reactive compstatin analogs and compositions comprising cell-reactive compstatin analogs. In some aspects, the invention further provides methods of using cell-reactive compstatin analogs, e.g., treat a complement-mediated disorder, e.g., to inhibit complement-mediated damage to a cell, tissue, or organ. In some aspects, the invention provides long-acting compstatin analogs and compositions comprising long-acting compstatin analogs. In some aspects, the invention further provides methods of using long-acting compstatin analogs, e.g., to treat a complement-mediated disorder, e.g., to inhibit complement-mediated damage to a cell, tissue, or organ. In some aspects, the invention provides targeted compstatin analogs and compositions comprising targeted compstatin analogs. In some aspects, the invention further provides methods of using targeted compstatin analogs, e.g., to treat a complement-mediated disorder, e.g., to inhibit complement-mediated damage to a cell, tissue, or organ.

Phototherapy devices having features to determine a dosing protocol for a user, and associated systems and methods are disclosed herein. In some embodiments, the phototherapy devices can include a color testing component positioned to obtain a measurement of a treatment region of the user's skin. The phototherapy device can use the measurement to calculate an average individual topography angle (ITA) for the user's skin across the treatment region, and use the average ITA to determine a dosing protocol for the user specific to features of their skin. The phototherapy device can then deliver a dose of ultraviolet radiation to the treatment region based on the dosing protocol.

Provided herein is, among other things, is a method of treating cancer using an improved intermittent dosing regimen for Azenosertib, or a pharmaceutically acceptable salt thereof, administration to achieve a highly efficacious, safe and tolerable dosing regimen to treat many different types of cancers. In one aspect, the method of treating cancer comprises administering a daily dose of Azenosertib, or a pharmaceutically acceptable salt thereof, (e.g., greater than about 350 mg) in accordance with an improved intermittent dosing cycle, wherein the intermittent dosing cycle comprises one or more dosing weeks with each dosing week comprising between about 2-7 consecutive dosing days and between about 1-7 days without dosing. In some embodiments, the intermittent dosing cycle is repeated wherein the dosing weeks are separated by a break of one, two or more weeks. In some aspects, Azenosertib, or a pharmaceutically acceptable salt thereof, is administered as a combination therapy.

The invention is a method for treating patients with Parkinson's disease, primary parkinsonism / idiopathic parkinsonism, post-encephalitic parkinsonism, parkinsonism that may follow carbon monoxide intoxication, or parkinsonism that may follow manganese intoxication and provides an improvement of a patient's total post-dose “On” time or “Good On” time compared to post-dose of treatment regimens with oral immediate release levodopa tablets.

Methods of expanding tumor infiltrating lymphocytes (TILs) using a tumor necrosis factor receptor superfamily (TNFRSF) agonist, such as a 4-1BB agonist, a CD27 agonist, a glucocorticoid-induced TNF receptor-related agonist, an OX40 agonist, a HVEM agonist, or a CD95 agonist, and uses of such expanded TILs in the treatment of diseases such as cancer are disclosed herein. In addition, in some embodiments, therapeutic combinations of TILs and TNFRSF agonists useful in the treatment of diseases such as cancer, including compositions, uses, and dosing regimens thereof, are disclosed herein.

The invention discloses an anesthesia depth accurate prediction system and method based on time sequence alignment. The method comprises the steps that a cross-modal joint time sequence characteristic data matrix is acquired and generated; outputting a time sequence alignment feature sample; outputting a future advanced prediction label set; obtaining a first-stage anesthesia depth prediction model; in the first anesthesia depth prediction model training stage, a logic auditing link is introduced, and a self-adaptive online updating model is formed; starting an anti-fact dose simulation module, and outputting a candidate anti-fact administration scheme set; and inputting the candidate anti-factual administration scheme set into a dynamic security constraint optimizer, rejecting non-compliant schemes by the dynamic security constraint optimizer according to single maximum dose limitation, single additional dose and administration times in a minimum administration interval, and outputting an optimal administration suggestion. According to the method, combined classification judgment is carried out on the anesthesia state grade and the change trend of each prediction step, and the sensitivity of clinical risk identification and abnormal situation early warning is effectively improved.

Antibody formulations are described comprising a mixture of a non-reducing sugar, an anti-α4β7 antibody and at least one amino acid. The disclosed formulations have improved stability, reduced aggregate formation, and may retard degradation of the anti-α4β7 antibody therein or exhibit any combinations thereof. The present invention further provides a safe dosing regimen of these antibody formulations that is easy to follow, and which results in a therapeutically effective amount of the anti-α4β7 antibody in vivo.

The present invention relates to stable and low viscosity liquid pharmaceutical compositions comprising antibodies binding to human alpha synuclein and to methods for use of antibodies binding to human alpha synuclein for treating synucleinopathies or prodromal synucleinopathy, incl. suitable doses and / or dosing regimens. These antibodies for use in treatment of synucleinopathies or prodromal synucleinopathy may be formulated in the stable and low viscosity liquid pharmaceutical compositions of the invention.

The invention is a method for treating patients with Parkinson's disease by orally administering a controlled release levodopa formulation and the method provides an improvement of a patient's total post-dose “Off” time, total post dose “On” time and total post dose “Good On” time compared to post-dose of treatment regimens with oral immediate release levodopa tablets.

This disclosure relates to the once weekly dosing regimen of a dual GLP-1R and GCGR agonist, formulations, and methods of using the same for treatment of chronic weight management, obesity and / or blood glucose control, including but not limited to dual agonist peptide product of SEQ ID NO. 1.

A personalized sirolimus dosing regimen may be determined and implemented based on individual-specific data for the individual who is being treated. This data may include hematocrit, co-medications, fever, growth, maturation, and the individual's sirolimus trough concentration. This data may be obtained as part of a method which includes using the individual-specific data to refine a sirolimus clearance model for the individual, and generating a personalized sirolimus dose for the individual using the refined sirolimus clearance model. Once has been generated, the personalized sirolimus dose may be administered to the individual.

The present disclosure relates to dosing regimens of an HIV capsid inhibitor and methods for the treatment or prevention of a human immunodeficiency virus (HIV) infection in a patient.

The present disclosure relates to a once weekly dosing regimen of a dual GLP-1R and GCGR agonist, formulations, and methods of using the same to induce weight loss in humans suffering from fatty liver disease, where the humans may or may not suffer from other complications, such as type 2 diabetes and / or cardiovascular disease / disorder. The dual agonist of the GLP-1R and the GCGR comprises a peptide product of SEQ ID NO. 1 (pemvidude), and a preparation method of the GLP-1R and GCGR dual agonist.