section index links.
1.A. Patent Brokers
The CASM Patent Family
CASM Is More Foundational than Statistics and AI
DataSpeaks Trademark
CASM Has Both Open and Patent-Protected Capabilities and Applications
CASM Software
CASM Is at the Frontiers of Knowledge
Special Opportunities
Patent Broker Role
1.B. AI Providers
CASM for the 2026 Year of Truth in CAS Sciences AI
1.C. Academics
Lead Truthful Science and Trustworthy AI for CAS Sciences with Open CASM Capabilities
The Massive Garbage In, Garbage Out (GIGO) Problem for Statistics and AI
Eroom’s Law
Overcoming Eroom’s Law
The CASM First, Statistics Second Research Approach
Improve Decision Velocity and Patient Centricity
Overcome Methodological Stasis
AI Providers Must Lead the Way Forward
Academic Industry Partnerships
Leveraging Demands to Reduce Drug Prices
AI Provider Pitch to Academics
AI Provider Criteria for Selecting Academic Partners
1.D. Government Agencies: The Federal "Gold Standard" for CAS Metrology
1.E. Decision-Makers: Demand More from Your Evidence Providers
1.F. From ‘Group Averages for No One’ to ‘N-of-1 for Everyone’
2.A. The CASM-for-CASticity Imperative
CASticity for Life
SI and CASM Are Distinct and often Complementary Metrologies
Manifestations of Complex Adaptive Systematicity (CASticity)
Truth for Trust: How CASM Eliminates the Reductionist Blindspot in AI
N-of-1 Thought Leaders
The Now Actionable Scientific and Technical Root Cause of Eroom’s Law
CASM ‘Develops’ Multivariate Time Series Data Movies
Mathematics-Driven, Rules-Driven, and Data-Driven Science
Limitations of a priori Modeling
Embracing Complexity with CASM
Need to Avoid a priori Presumptions
CASM for AI
Universal Hypotheses
Unsolved Problems that Statisticians Face
N-of-1 RCTs for Rare Diseases
Sample Size/Number of Repeats Tradeoffs for Statistical Significance
Rigor Mortis in Life Sciences
Avoid Possible False Negative Study Results
The Pervasive Why
Obviating the Clinical Research to Clinical Practice Translation Problem
GLP-1 Drug Opportunities
Enhancing Safety and Ethics and Reducing Liability
Leveraging Nested Time Scales
CASM Versus Granger Causality
Might AI Be Headed to a Dead End?
CASM Patent Family Ownership and Academic Partnerships
2.B. What CASM Does
The CASM Algorithmic Process
CASM Is Not a Model
CASM Can Vastly Expand the MTS Data Processed
The CASM Tripartite Definition of Work
2.C. CASM Applications
Longitudinal Causality Assessment (LCA)
Temporal Interaction Phenotypes (TIPs)
Diagnostic TIPs
Treatment and Environmental Response TIPs
TIPs Overview
Health Effects Monitoring Services (HEMS)
Testing Hypotheses about Individuals
Flipping the Script for Drug Development
Doubly Randomized Experimental Control
"Truthful and Trustworthy Science and AI" Is a Critical Public Interest
AI Providers Pivoting to Life Sciences
Doubling Down on Reductionism
CASM is Not What Leaders Have Been Looking For
Drug Repurposing and Retargeting
Scientific Rigor Must Embrace Truth
CASM for Digital Twins
CASM Will Disrupt AI
CASM Applications Are Mutually Beneficial
Surrogate Markers and the Reductionist Trap
CASM for Brains and the Persons They Live In
Closing the Progress and Productivity Chasm: Oncology and Psychiatry
The Irreducibility of Brain Temporal Interactivity
Might AI Be Headed to a Dead End
CASM Patent Family Owner and Academic Partnerships
2.D. The CASM How
Data Movies Over Data Snapshots
The Secret Sauce
Resistance to Longitudinal Digitization
Intellectual Vertigo
Longitudinal Digitization and Action Potentials
Naïve Statistics?
Computational Overview and CASMistry
Industry-University CASM Partnerships
Step 2: Data Pre-Processing
Interpolation
Detrending
Successive Differences
Inductive and Deductive Complexity Sciences
CASM First, Statistics Second for Genotype-Phenotype Mapping
Pre-processing fMRI MTS Data: TI Scores versus Correlation Coefficients
Pre-processing Waveform Data for CASM
Steps 3 Through 10 Overview
CASM Software is Cohesive