• Early diagnosis of chronic and life-threatening diseases

  Early and accurate diagnosis allows the initiation of correct and targeted treatment and improves both the rates of recovery and survival, as well as reducing overall treatment costs. Mosaic Portrait models are capable of providing early and accurate disease recognition, based on the identification of new, previously unknown differential sub-syndromes, which are specific only for a certain disease or condition.

• Differential diagnosis of diseases with similar presentations

  Differential diagnosis for a group of diseases with similar clinical symptoms and signs is performed on the basis of differential sub-syndromes. Mosaic Portrait identifies new, previously unknown patterns in symptoms/signs sub-values and reliably recognises diseases, which are traditionally hard to distinguish.
  
  Mosaic Portrait method uses only routinely collected information and does not increase the physician’s workload. Inversely, the decision-making becomes faster and more accurate, leading to reduction in diagnostic errors, early commencement of appropriate treatment and improvement in patients outcome.

• Prognosis of disease progress and patient outcome

  Currently, there are no accurate methods for medical prognosis, and traditional methods rely on the analysis of the frequency of possible disease outcomes. This probabilistic approach is simplistic and makes little reference to the full patient presentation.
  
  Mosaic Portrait technology successfully solves this challenge by supplying a rational deterministic linkage between the wide complexity of disease presentations and disease progress/patient outcome. This linkage is based on newly identified differential syndromes exclusively specific for certain outcomes. Mosaic Portrait prognostic models enable physicians to optimise treatment strategy, effectively manage available medical resources and improve the quality of life of their patients.

• Personalisation of medical treatment

  The heterogeneity of clinical disease manifestations and the unpredictability of treatment response may lead to an ineffective medical intervention and undesirable outcome (e.g. adverse drug reaction). By capturing all known information about a patient and the presenting disease, Mosaic Portrait establishes a means to accommodate this heterogeneity.
  
  Mosaic Portrait model identifies objective deterministic relations between the patient’s individual features, disease presentations, proposed treatment and patient outcome. Rational selection of treatment measures ensures better recovery and survival rates among patients.

• Formal selection and development of the most informative and effective procedures for mass screening examinations.

  Mosaic Portrait evaluates the informative value of symptoms and clinical signs, and establishes the minimal required set of tests to arrive to accurate diagnostics. This approach makes it possible to exclude complex, expensive, time-consuming or invasive tests from diagnostic screening procedures and broaden the availability of mass screening.
  
  Mosaic Portrait models enable a wider range of medical establishments to make formal accurate decisions at a lesser strain on resources by making the best use of simple available information.

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