>>> nextAI

We are unlocking the potential of precision medicine and improving MSK care through evidence-based, peer-reviewed, reproducible and replicable use cases.

Precision medicine is not a new idea, but its widespread use and the availability of large amounts of data had been prevented by cost/benefit considerations.

Those considerations changed as our understanding of biological processes improved, our data processing capacity grew, and new techniques were developed allowing interventions that were not possible before.

Increasingly powerful big data analyses help to identify genetic causes for diseases, and genetic engineering develops focused cures.

Precision medicine includes the use of new diagnostics and therapeutics, targeted to the needs of a patient based on his/her own genetic, biomarker, phenotypic, or psychosocial characteristics.

In particular, advances such as cell sorting, epigenetics, proteomics, metabolomics, and more are converging with informatics and other technologies, rapidly expanding the scope of this field.

For example, advances in DNA synthesis and assembly methods over the past decade have made it possible to alter DNA or RNA and to construct genome-size fragments from oligonucleotides.

Predictive Medicine is more and more individualized.

Gender-specific Response in Pain and Function to Biologic Treatment of Knee Osteoarthritis: A Gender-Bias-Mitigated, Observational, Intention-to-treat Study at Two Years. Stem Cells International, 2021.

A gender-bias-mitigated, machine-learning-assisted, data-driven precision medicine system to assist in the selection of gender-specific biological treatments of grade 3 and 4 knee osteoarthritis: development and preliminary validation of precisionKNEE, Pre-print in progress, 2021

(pre-print available soon)

Patient-Centered Outcomes of Microfragmented Adipose Tissue Treatments of Knee Osteoarthritis: An Observational, Intention-to-Treat Study at Twelve Months. Stem Cells International, 2020.

From linear to conditional relationships between pain, function, patient demographics and the radiographic assessment of idiopathic knee osteoarthritis: a prospective, gender-bias mitigated, machine-learning-assisted reproducible analysis, Pre-print in progress, 2021

(pre-print available soon)