Described herein are methods, compositions, kits, and systems for detecting free and bound PlGF, and using detection of such species to distinguish between pregnant women with or without preeclampsia or related conditions.

Described herein are methods, compositions, kits, and systems for detecting free and bound PlGF, and using detection of such species to distinguish between pregnant women with or without preeclampsia or related conditions.

The present invention discloses a freeze-dried preparation of chemiluminescent immune microspheres, and a preparation method and an application thereof. The preparation is composed of one or more spherical solid particles having the same composition, which are uniform, smooth, and highly stable. In the preparation process, a magnetic particle coating raw material, an acridinium ester marking raw material and a reagent storage agent are freeze-dried into microspheres, so that the freeze-dried preparation can be stored and transported at normal temperature; the microspheres prepared in the present invention can be sub-packaged conveniently into individual packs, which are hygienic, simple and clear, and convenient to get and use, thereby the safety and convenience of use are improved. The preparation provided by the present invention and the test kit prepared according to the present invention can be used for immunoassays that are not for a disease diagnoses or treatment purpose.

The present invention discloses a freeze-dried preparation of chemiluminescent immune microspheres, and a preparation method and an application thereof. The preparation is composed of one or more spherical solid particles having the same composition, which are uniform, smooth, and highly stable. In the preparation process, a magnetic particle coating raw material, an acridinium ester marking raw material and a reagent storage agent are freeze-dried into microspheres, so that the freeze-dried preparation can be stored and transported at normal temperature; the microspheres prepared in the present invention can be sub-packaged conveniently into individual packs, which are hygienic, simple and clear, and convenient to get and use, thereby the safety and convenience of use are improved. The preparation provided by the present invention and the test kit prepared according to the present invention can be used for immunoassays that are not for a disease diagnoses or treatment purpose.

Embodiments of the invention describe to methods of diagnosing, classifying, and/or identifying a patient's risk of developing graft versus host disease, including severe or lethal graft versus host disease, after receiving hematopoietic cellular transplantation, a transfusion or a transplantation, but before the onset of clinical symptoms.

Embodiments of the invention describe to methods of diagnosing, classifying, and/or identifying a patient's risk of developing graft versus host disease, including severe or lethal graft versus host disease, after receiving hematopoietic cellular transplantation, a transfusion or a transplantation, but before the onset of clinical symptoms.

The need for an accurate, early, and precise estimation of expected delivery date (EDD) for the pregnant subject is vital. A system and method for predicting a day/date of delivery for a pregnant subject using one or more microbiome samples collected from the pregnant subject is provided. The disclosure relates to applying machine learning techniques on the microbiome characterization data corresponding to the biological sample(s) collected from the pregnant subject. The method further comprises using the predicted EDD to suitably plan and take required medical treatment or precautions or medical advice for the pregnant subject to prevent any pregnancy and/or delivery related complications and to manage the delivery appropriately. The disclosure also provides compositions of the microbiome data which can potentially influence the delivery date, or the method provides exemplary compositions of the microbiome data which plays vital role in estimating the EDD of the pregnant subject.

The need for an accurate, early, and precise estimation of expected delivery date (EDD) for the pregnant subject is vital. A system and method for predicting a day/date of delivery for a pregnant subject using one or more microbiome samples collected from the pregnant subject is provided. The disclosure relates to applying machine learning techniques on the microbiome characterization data corresponding to the biological sample(s) collected from the pregnant subject. The method further comprises using the predicted EDD to suitably plan and take required medical treatment or precautions or medical advice for the pregnant subject to prevent any pregnancy and/or delivery related complications and to manage the delivery appropriately. The disclosure also provides compositions of the microbiome data which can potentially influence the delivery date, or the method provides exemplary compositions of the microbiome data which plays vital role in estimating the EDD of the pregnant subject.

The present invention relates to nucleic acid sequences and amino acid sequences which influence bone deposition, the Wnt pathway, ocular development, tooth development, and may bind to LRP. The nucleic acid sequence and polypeptides include Wise and Sost as well as a family of molecules which express a cysteine knot polypeptide. Additionally, the present invention relates to various molecular tools derived from the nucleic acids and polypeptides including vectors, transfected host cells, monochronal antibodies, Fab fragments, and methods for impacting the pathways.

The present invention relates to nucleic acid sequences and amino acid sequences which influence bone deposition, the Wnt pathway, ocular development, tooth development, and may bind to LRP. The nucleic acid sequence and polypeptides include Wise and Sost as well as a family of molecules which express a cysteine knot polypeptide. Additionally, the present invention relates to various molecular tools derived from the nucleic acids and polypeptides including vectors, transfected host cells, monochronal antibodies, Fab fragments, and methods for impacting the pathways.