The disclosed wearable device modulates a patient's gastric emptying time and/or gastric retention time. The wearable device includes a microprocessor, electrical stimulator and at least one electrode configured to deliver electrical stimulation to the epidermis, through a range of 0.1 mm to 10 mm or a range of 0.1 mm to 20 mm of the dermis, of a T2 dermatome to a T12 dermatome or meridian of the patient, a C5 to a T1 dermatome across the hand and/or arm, and/or the upper chest regions. The device is adapted to provide electrical stimulation as per stimulation protocols and to communicate wirelessly with a companion control device configured to monitor and record appetite patterns of the patient. The control device is also configured to monitor, record, and modify stimulation parameters of the stimulation protocols.

Methods, devices and systems for predicting non-clinical, undiagnosed conditions through audio data related to intestinal sounds of a patient or subject, wherein the methods, devices and systems utilize machine learning algorithms, and predicting the likelihood of in vivo impairment relative to the identified spectral events.

Methods and systems are provided for diagnosis and possibly treatment of the large intestine, using samples from at least three portions of the large intestine, including sampling the ascending proximal portion thereof. Samples from the ascending portions of the large intestine were found to differ in their microbial characteristics significantly from prior art stool samples and from samples taken from the descending and transverse parts of the large intestine—enabling more accurate diagnosis and possibly more effective treatment of diseases of the large intestine.

A system for generating a digestive disease nourishment program, the system includes a computing device configured to receive at least a digestive biomarker relating to a user, generate at least a digestive parameter as a function of the at least a digestive disease biomarker, determine a digestive profile as a function of the at least a digestive parameter, produce a functional signature as a function of the digestive profile, wherein identifying further comprises receiving a conduct indicator, and identifying the functional signature as a function of the conduct indicator and the digestive profile using a functional machine-learning model, and generate a functional program as a function of the functional signature.

A computer-implemented method of internally printing a biostructure on a damaged area of a patient. The method includes: assembling a first bioprinter capsule and a first cartridge capsule to form an assembled bioprinter internally within the patient based, at least in part, on directing one or more magnetic fields towards a first bioprinter capsule and a first cartridge capsule, moving the assembled bioprinter to the internally damaged area of the patient based, at least in part, on altering the one or more external magnetic fields directed towards the assembled bioprinter, and printing, via the assembled bioprinter, a first biostructure onto the internally damaged area of the patient based, at least in part, on altering the one or more external magnetic fields directed towards the assembled bioprinter, wherein the one or more external magnetic fields are sequentially altered to incrementally move the assembled bioprinter along at least one plane.

Ingestible devices are disclosed that provide very high localization accuracy for the devices when present in the GI tract of a body. Related systems and methods are also disclosed.

Systems and methods are provided for providing improved information, diagnoses and therapies for dyspepsia and gastric emptying disorders based on gastric protein emptying and gastric carbohydrate emptying data.

An intelligent baby caring method and arrangement helps to recognize and maintain emotional interaction between mother and her baby and to improve the baby's life rhythm and calm and soothe him/her automatically when needed and help him/her to fall asleep and to wake up at the most convenient time and way. The aim is to help the mother with her baby to find optimal life and care rhythm. The invention is focused on a platform (101) with many sensors, sensor sheet (120), a transducer to produce acoustic and mechanical vibrations (14) and an airflow blower (132). Sensors are also fixed to the mother (10) and in the care room (198). A sleep/activity graph of the baby and sleep/emotion graph of the mother are measured and tracked with multimodal sensors and an artificial intelligence unit (200) processes audio, motion and airflow actions given to the baby from the platform to help the baby to move from an improper to optimal sleep/activity level.

The present disclosure relates to an apparatus and method for correcting rotational error during use of an oblique-viewing endoscope. Specifically, the present disclosure relates to a fast calibration process wherein a new approach is employed in estimating a center of rotation of a plane of an image. Moreover, the approach, allows for updating of a camera matrix during use.

Systems, methods, and apparatuses for analyzing markers of gut health, determining whether integrative or functional therapy is best, and incentivizing a prescribed regimen.