In an analysis method of the present invention, a compound represented by the following formula (I) as a matrix is mixed into an analysis target sample and the mixture is subjected to matrix-assisted laser desorption ionization mass spectrometry. In the formula (I), R is an alkyl group having 3-11 carbon atoms. The analysis target sample is a substance for which whether or not β-lactamase is contained is to be determined. Analysis targets include, for example, bacteria and an extract from bacteria. ##STR00001##

A method of rapidly evaluating the susceptibility of a strain of bacteria to a cell wall synthesis inhibiting antibiotic based on an assessment of cell enlargement in response to doses of the cell wall synthesis inhibiting antibiotic which are correlated to breakpoints of bacterial susceptibility.

The present invention broadly provides different compositions, kits, vectors, and methods including monoclonal antibodies directed to epitopes found within lipoarabinomannan (LAM) and phosphatidyl-myo-inositol mannoside 6 (PIM6) for the diagnosis and treatment of Mycobacterium tuberculosis infections.

This disclosure relates to methods for isolating bacterial cells, fungal cells, and single-celled parasites present in a blood sample containing higher eukaryotic cells; particularly wherein the microorganisms are present at a concentration significantly lower than the eukaryotic cells in the sample.

The invention provides a method for identifying methicillin resistant Staphylococcus aureus (MRSA) in a bacterial sample comprising the steps: classifying bacteria in the sample as Staphylococcus aureus (SA) and determining the presence or absence of the phenol soluble modulin peptide or a variant thereof wherein the presence of the PSM-mec peptide or variant thereof indicates methicillin resistant Staphylococcus aureus. The variant is preferably the formylated version of the PSM-mec peptide having a mass to charge ratio of 2415 in a singly protonated state.

The present invention relates to a composition for enhancing T-cell function or for treating a T-cell dysfunctional disorder, the composition comprising, consisting or consisting essentially of a lysine specific demethylase (LSD) inhibitor (which may be a MAO inhibitor or phenelzine) and a Programmed cell death protein-1 (PD-1) binding antagonist (which may be an antibody, preferably nivolumab, pembrolizumab, lambrolizumab or pidilizumab).

Disclosed herein are methods and systems for determining whether a cell is resistant to one or more drugs. Also, disclosed herein are methods and systems for monitoring the treatment of a cancer patient to determine whether the cancerous cells being treated are resistant to the treatment. Further, disclosed herein are methods and systems for predicting the responsiveness of a cell to a drug. Also, disclosed herein are methods and systems to determine the rate of the efficacy of a chemotherapeutic drug on a cancerous, neoplastic or damaged cells

A wherein the processor is further configured to method of determining the antibiotic resistance of a pathogen from in a sample from a patient or the environment in real-time, including: sequencing the genome of the pathogen from the patient sample in real-time; identifying the pathogen from the sequencing data as it becomes available; determining if the pathogen is resistant to a first antibiotic using a machine learning model, the identity of the pathogen, and the sequencing data for the pathogen; tabulating data regarding the antibiotic resistance of the pathogen; and producing a graphical user interface indicating the antibiotic resistance of the pathogen

The present invention is in the field of cancer diagnosis. In particular, the present invention relates to a method for determining in a cancer patient the risk of develop a resistance to chemical substances used in cancer therapy. The invention furthermore provides a novel combination therapy for patients that have been diagnosed to develop drug resistance against chemical substances used for treating cancer.

The present invention broadly provides different compositions, kits, vectors, and methods including monoclonal antibodies directed to epitopes found within lipoarabinomannan (LAM) and phosphatidyl-myo-inositol mannoside 6 (PIM6) for the diagnosis and treatment of Mycobacterium tuberculosis infections.