The present disclosure provides methods related to accurate detection and treatment of medical conditions related to Clostridioides difficile infection (CDI). In specific cases, the disclosure concerns accurate assessment of a symptom associated with CDI related to the presence or risk that may or may not be a pathogenic infection. Particular embodiments encompass detection of one or more specific analytes that provide information for accurate diagnosis and treatment of CDI.

The present disclosure provides methods of obtaining, recovering and culturing pulmonary arterial endothelial cells from an individual patient, subjected to a right heart catheterization in regard to diagnosis of pulmonary hypertension. These isolated pulmonary arterial endothelial cells from an individual patient may be utilized to generate cellular phenotyping profile for the cell population, allowing generation of a personalized pharmacotherapy regime to assist the clinician in treatment and prognosis of the disorder for an individual patient.

Described herein are methods such as multi-omic methods for assessing a disease such as cancer. The multi-omic methods may integrate proteomic, transcriptomic, genomic, lipidomic, or metabolomic data. The method screening diseases or disease states. Also described herein are methods for screening for diseases or disease states from biological samples. The methods may include assessing whether a nodule, mass, or cyst is cancerous.

Systems and methods for analyzing metabolite concentration in a subject using a medical imaging system are provided. The method includes, using a nuclear magnetic resonance (NMR] system, acquiring data from a subject during multiple acquisitions using different echo times for the multiple acquisitions to create a chemical shift domain. The method also includes, using the chemical shift domain, identifying metabolites by at least two chemical shifts and generating a report indicating the metabolites.

A system and method for monitoring the health of dialysis patients with Raman spectroscopy measurements of one or more target analytes is described. The methods include irradiating one or more fluids of interest with light to produce one or more spectrum and detecting the spectrum with a detector. The fluids of interest are preferably those related to dialysis, including hemodialysis and peritoneal dialysis. In a preferred embodiment, the fluids are irradiated with monochromatic light, and one or more Raman spectra are detected as a result of the irradiation. The fluids may be irradiated within the dialysis tubing itself, or removed from the dialysis tubing and irradiated in a separate chamber. The Raman spectra of one or more target analytes of a dialysis patient may be followed over time or compared to one or more reference spectra, thereby providing information on the health of dialysis patients.

A method and corresponding apparatus are disclosed for analysis of a peptide-containing sample. The sample is prepared by adding isotopically-labeled peptides corresponding to endogenous peptides of interest, and the prepared sample is analyzed by liquid chromatography-mass spectrometry (LCMS). Detection in a high-resolution, accurate mass (HRAM) MS1 spectrum of a precursor ion matching an isotopically-labeled peptide triggers acquisition of an MS/MS spectrum (preferably acquired in an ion trap or other fast mass analyzer) to determine if a product ion is present matching a characteristic product ion (e.g., the y.sub.1 ion) of the isotopically-labeled peptide. If the characteristic product ion is present, then a HRAM MS/MS spectrum is acquired for detection and quantitation of the corresponding endogenous peptide.

Described herein are sets of metabolite and lipid (e.g., fatty acid) markers that can be used in the detection of early stage colorectal cancer and/or early development of adenomatous polyps. Presented herein are illustrative pathology-linked panels. In certain embodiments, the markers presented herein (or subsets thereof) are used as a panel for detecting either colorectal cancer or adenomatous polyps at the same time. The markers presented herein include metabolites and lipids (e.g., fatty acid) freely detectable and accurately quantifiable in human serum. In certain embodiments, the sample may be plasma, urine, saliva, whole blood, dried blood spot or dried serum spot.

A method is disclosed comprising providing a biological sample on a swab, directing a spray of charged droplets onto a surface of the swab in order to generate a plurality of analyte ions, and analysing the analyte ions.

The present invention relates to the unexpected discovery of methods and devices that can be used for high-throughput precise quantification, detection and/or temporal profiling of cellular secretions. In various embodiments, the methods of the invention allow for high-throughput absolute detection of secretions of cells, identification of the nature of the secreted molecules, and/or the nature of the secreting cells. Further, the present invention includes a device combining microfluidics and antibody printing, wherein the device can be used to detect protein secretion signature of cells in a high-throughput manner. Further, the present invention includes compositions comprising molecules that can be used to reduce cell death and to implement cell-less therapies. Further, the present invention includes a method for training an algorithm to predict temporal profile of cellular secretion.

The present disclosure provides a system comprising a communication interface and computer for assigning a label to the biomolecule fingerprint, wherein the label corresponds to a biological state. The present disclosure also provides a sensor arrays for detecting biomolecules and methods of use. In some embodiments, the sensor arrays are capable of determining a disease state in a subject.