Why advances in neuroscience, systems biology, and personalized healthcare are challenging traditional approaches to mental health—and what we can learn from this emerging scientific framework.
Two individuals can receive the same psychiatric diagnosis yet experience profoundly different symptoms, life circumstances, and responses to treatment.
One person diagnosed with depression may experience persistent fatigue, excessive sleep, reduced motivation, and difficulty concentrating.
Another may experience insomnia, agitation, loss of appetite, and overwhelming feelings of guilt.
Although both individuals meet established diagnostic criteria, their underlying biological processes, psychological experiences, and environmental circumstances may be considerably different.
This raises an important question:
If two people share the same diagnosis but differ in their biology, symptoms, and treatment responses, should their healthcare necessarily follow the same approach?
For decades, psychiatry has relied primarily on clinical interviews, symptom patterns, and standardized diagnostic criteria to identify and classify mental health conditions.
These approaches have provided important benefits. They establish a common language among healthcare professionals, support clinical research, and guide access to established treatments.
However, contemporary neuroscience increasingly reveals that mental health conditions involve complex interactions among neural circuits, genetics, physiology, behavior, and environmental experiences.
In June 2025, an international group of researchers published Precision Psychiatry Roadmap: Towards a Biology-Informed Framework for Mental Disorders in the journal Molecular Psychiatry.
Their article proposed a coordinated scientific initiative to improve the classification and treatment of mental disorders by incorporating validated biological and behavioral information alongside traditional symptom-based assessments.
In October 2026, Nature examined this movement in a feature titled The Grand Plan to Transform Psychiatry—By Personalizing Mental-Health Care.
Together, these publications describe an emerging shift toward precision psychiatry: a research framework seeking to understand individual differences in mental health more accurately and use that knowledge to improve future treatment decisions.
Although this field remains in development, its underlying principles have implications extending beyond psychiatry.
They reinforce a broader movement toward healthcare that recognizes the individual as a complex, adaptive biological and psychological system embedded within a unique environment.
1. How Are Mental Health Conditions Traditionally Diagnosed?
Mental health professionals commonly use classification systems such as the Diagnostic and Statistical Manual of Mental Disorders (DSM) and the International Classification of Diseases (ICD).
These systems describe conditions according to combinations of reported symptoms, observable behaviors, duration, functional impairment, and other clinical criteria.
For example, major depressive disorder may involve changes in mood, interest, sleep, appetite, concentration, energy, or feelings of self-worth.
These criteria provide a structured approach to diagnosis and help clinicians distinguish among different presentations.
However, the same diagnosis can encompass many different combinations of symptoms.
Two individuals may satisfy diagnostic requirements while sharing relatively few specific experiences.
Conversely, symptoms such as fatigue, sleep disturbance, impaired concentration, or loss of motivation may occur across several psychiatric and nonpsychiatric conditions.
This creates a challenge known as diagnostic heterogeneity.
Diagnostic heterogeneity means that individuals grouped within the same diagnostic category may differ substantially in the processes contributing to their condition.
The 2025 Molecular Psychiatry roadmap identifies this heterogeneity as one reason researchers are seeking more biologically informed approaches.
Importantly, the limitation does not mean existing diagnostic systems are useless.
They remain essential for clinical communication, research, and treatment.
The question is whether additional information could make them more precise.
2. Why Is Psychiatry Moving Toward a More Personalized Framework?
Several developments are contributing to this shift.
One is the growing recognition that mental health conditions rarely reflect one simple biological mechanism.
Another is the substantial variation in response to available treatments.
A therapy or medication that is highly effective for one individual may provide limited benefit to another with the same diagnosis.
This variation can create a prolonged process of treatment adjustment before an effective approach is identified.
Precision psychiatry aims to improve this process by identifying characteristics that help explain who is most likely to benefit from a particular intervention.
Advances in neuroscience have also provided increasingly detailed information about neural circuits involved in motivation, reward processing, threat detection, cognitive control, and emotional regulation.
Simultaneously, technologies such as neuroimaging, electrophysiology, molecular analysis, and digital monitoring have expanded the types of information researchers can collect.
These advances create opportunities to investigate mental health across several biological and behavioral dimensions.
However, the central challenge remains translating scientific observations into reliable clinical decisions.
A measurement that differs between groups is not automatically useful for diagnosing or treating an individual.
The emerging field therefore seeks not merely to collect additional data, but to determine which measurements provide meaningful predictive information.
3. Moving Beyond Diagnostic Labels Toward Underlying Processes
Traditional diagnostic systems organize mental health conditions into recognizable categories.
Precision psychiatry also investigates processes that may occur across multiple diagnostic categories.
For example, disturbances in reward processing may contribute to reduced motivation or pleasure across several conditions.
Altered threat processing may be relevant to different anxiety-related or trauma-related presentations.
Difficulties involving attention, cognitive control, or emotional regulation may also appear across diagnoses.
Rather than examining these processes exclusively within one disorder, researchers can investigate their shared neural and behavioral mechanisms.
This approach is sometimes described as transdiagnostic.
It recognizes that different diagnoses may involve overlapping dimensions of psychological and biological function.
The 2025 roadmap discusses the importance of identifying such dimensions and connecting them with measurable biological systems.
However, transdiagnostic similarities do not mean that different mental health disorders are identical.
Nor do they eliminate the importance of clinical history, context, and diagnostic distinctions.
The goal is to develop a more complete understanding of both shared mechanisms and individual differences.
4. The Research Domain Criteria: An Earlier Step Toward Precision
The movement toward biology-informed mental health research did not begin in 2025.
In 2009, the United States National Institute of Mental Health introduced the Research Domain Criteria initiative, commonly abbreviated as RDoC.
Rather than organizing research exclusively around established diagnostic categories, RDoC encourages investigation of dimensions of human functioning.
These include systems involved in reward, threat, cognition, social processes, and arousal.
Researchers can examine these dimensions across different levels of analysis, from genes and molecules to neural circuits, behavior, and self-reported experiences.
For example, reward processing can be studied through behavioral tasks, brain imaging, and other experimental methods.
A person experiencing reduced motivation might demonstrate difficulties involving reward anticipation, effort allocation, or learning from rewarding experiences.
These processes may provide information that extends beyond a general symptom description.
However, RDoC is a research framework, not a replacement diagnostic manual.
It does not currently provide a validated clinical system for selecting treatments for individual patients.
The 2025 Precision Psychiatry Roadmap builds on related concepts while proposing additional steps toward harmonizing research methods, validating measurements, and eventually incorporating useful findings into clinical practice.
5. Understanding the Brain Through Functional Networks
The human brain is organized through interconnected neural systems.
Different networks participate in perception, movement, memory, attention, emotion, motivation, and behavior.
Mental health research increasingly investigates how the activity and connectivity of these networks relate to particular symptoms.
For example, researchers have studied circuits involving the prefrontal cortex, amygdala, hippocampus, striatum, and other brain regions.
These structures participate in multiple overlapping functions.
The amygdala contributes to processing biologically significant information, including potential threats.
The striatum participates in aspects of motivation, reinforcement learning, and reward-related behavior.
Prefrontal networks contribute to planning, decision-making, attention, and aspects of emotional regulation.
However, these functions cannot be reduced to one brain structure operating independently.
They emerge through distributed networks interacting with the body and environment.
Can Brain Imaging Help Personalize Treatment?
A 2026 Nature Reviews Drug Discovery perspective, Towards Precision Psychiatry: Initial Foundations and Future Directions, discusses emerging efforts to identify clinically useful neural measurements.
Researchers are investigating whether functional magnetic resonance imaging, electroencephalography, and other methods can identify patterns relevant to treatment response.
Certain studies have reported promising associations between brain connectivity and differential responses to psychotherapy or antidepressant medication.
These findings offer potential foundations for future treatment-selection tools.
However, most remain research applications.
Routine brain imaging or quantitative EEG cannot currently determine the optimal psychiatric treatment for most patients.
Before a biomarker can guide clinical care, it must demonstrate reliability, reproducibility, predictive validity, and practical usefulness.
6. Biological Markers: Why Researchers Want More Objective Measurements
A biomarker is a measurable characteristic that can provide information about a biological process, disease process, or response to an intervention.
Modern healthcare uses biomarkers in numerous fields.
For example, HbA1c helps characterize long-term glucose regulation, and selected laboratory measurements help assess thyroid function.
Psychiatry has relatively few biomarkers that can reliably identify common mental disorders or determine which treatment will work best for a particular person.
Researchers are investigating several potential sources of information.
These include genetic variation, circulating proteins, inflammatory markers, hormones, brain imaging, electrophysiology, and objective behavioral measurements.
The objective is to determine whether combinations of these measurements can help identify meaningful patient subgroups.
However, many candidate markers are nonspecific.
For example, inflammatory measurements can be influenced by infections, metabolic disease, sleep disruption, physical activity, and numerous other conditions.
Likewise, cortisol varies across the day and responds to multiple physiological and psychological influences.
An abnormal measurement does not automatically establish that a psychiatric condition is present or identify its cause.
The clinical value of a biomarker depends on the specific decision it can reliably inform.
7. Genetics and Individual Susceptibility
Genetics contributes to susceptibility for many psychiatric and neurodevelopmental conditions.
However, most common mental health disorders are not caused by a single genetic variant.
Instead, susceptibility often involves many genetic influences interacting with developmental experiences, environmental exposures, and other factors.
Researchers have developed methods such as polygenic risk scores to estimate genetic susceptibility based on combinations of genetic variants.
These approaches may provide useful information at a population level.
However, they currently have substantial limitations for predicting individual outcomes.
A higher genetic risk score does not mean someone will necessarily develop a particular condition.
Likewise, a lower score does not guarantee protection.
The 2026 Nature feature emphasizes that psychiatric genetics has produced important discoveries but has not yet delivered broadly reliable tools for selecting treatment in routine care.
This reinforces an essential principle of precision healthcare:
Genetic information may contribute to understanding susceptibility, but it does not determine the individual's entire biological or psychological future.
8. The Exposome: Why Biology Cannot Be Separated From Environment
One of the most important aspects of the 2025 roadmap is its recognition of the exposome.
The exposome describes the collection of environmental influences experienced throughout life and the biological responses associated with those exposures.
These influences can include nutrition, physical activity, sleep, psychological stress, social relationships, occupational conditions, pollution, and other environmental factors.
The roadmap emphasizes that brain biology and environmental experiences interact bidirectionally.
This means that biological processes can influence how an individual experiences and responds to their environment, while environmental conditions can influence biological regulation.
For example, persistent sleep disruption may affect attention, emotional regulation, and stress responsiveness.
Social isolation may contribute to psychological distress and influence health-related behaviors.
Chronic pain may interfere with sleep, physical activity, and daily functioning.
Conversely, psychological distress may influence pain perception, motivation, and participation in health-supporting behaviors.
These relationships illustrate why a purely biological or purely psychological explanation may be insufficient.
An ecobiopsychosocial perspective considers biological, psychological, social, and ecological conditions together.
This broader approach is particularly relevant because mental health exists within the context of an individual's entire life.
9. Digital Phenotyping: What Can Wearables and Smartphones Tell Researchers?
Traditional healthcare assessments provide information collected during specific appointments.
However, symptoms and behaviors can change substantially throughout the day or week.
Digital phenotyping refers to the use of digitally collected information to characterize patterns of behavior and functioning.
Researchers are investigating whether devices such as smartphones and wearable sensors can provide useful longitudinal information about activity, sleep, movement, and other behaviors.
For example, changes in sleep timing or daily activity may provide information about an individual's functioning over time.
These measurements could eventually complement clinical interviews and symptom questionnaires.
The 2026 Nature feature discusses the possibility of combining digital measures with other biological and contextual information to support more personalized mental healthcare.
However, this remains an emerging field.
Sleep measurements, heart rate variability, and activity patterns are not specific indicators of particular psychiatric disorders.
Furthermore, digital data can be influenced by employment, physical illness, device use, and individual preferences.
Privacy is another major consideration.
Information about location, communication, sleep, and daily behavior can be highly sensitive.
Any future clinical application must address consent, data security, transparency, and the risk of inappropriate interpretation.
The objective should be to improve patient understanding and care—not to generate invasive monitoring without demonstrated benefit.
10. Artificial Intelligence and the Challenge of Integrating Complex Information
Precision psychiatry increasingly involves the analysis of large, complex datasets.
These may include biological measurements, clinical histories, neuroimaging, behavioral assessments, and environmental information.
Artificial intelligence and machine-learning methods can potentially identify patterns that are difficult to detect through conventional analysis.
For example, researchers may investigate whether combinations of measures predict response to a particular intervention more accurately than symptoms alone.
However, a model's ability to identify statistical patterns does not automatically establish clinical usefulness.
Algorithms can be affected by biased training data, inadequate sample sizes, inconsistent measurement methods, and differences among patient populations.
A model developed in one population may perform poorly in another.
Even when a prediction is statistically accurate, researchers must establish whether using it improves patient outcomes.
This requires independent validation and prospective clinical studies.
In addition, models must be interpreted with appropriate professional oversight.
A computer-generated prediction should not replace a thoughtful clinical assessment or the individual's preferences and values.
11. Why Similar Symptoms May Require Different Clinical Investigations
One practical lesson from precision psychiatry is that symptoms do not always identify their underlying causes.
Fatigue, poor concentration, sleep disturbance, reduced motivation, and emotional changes can occur in numerous circumstances.
Some may reflect a primary mental health condition.
Others may arise alongside medical conditions, medications, nutritional deficiencies, sleep disorders, or major environmental stressors.
For example, persistent fatigue could warrant evaluation of sleep quality, medication effects, anemia, or other relevant medical concerns.
Difficulties concentrating may occur with inadequate sleep, chronic pain, psychological distress, or several neurological and medical conditions.
The presence of these symptoms does not automatically indicate one particular diagnosis.
Likewise, identifying a medical contributor does not necessarily exclude a coexisting psychiatric condition.
Comprehensive healthcare therefore requires careful differential diagnosis and appropriate collaboration among professionals.
This is not the same as attempting to explain every psychological symptom through a laboratory abnormality.
It is recognizing that the person experiencing the symptom is a whole biological and psychological organism.
12. Precision Psychiatry and the Future of Treatment Development
The ultimate goal of precision psychiatry is not simply to produce more detailed diagnostic descriptions.
It is to improve outcomes.
A 2026 consensus statement published in NPP—Digital Psychiatry and Neuroscience, titled Toward Actionable Biomarkers in Psychiatry: A Collaborative Roadmap for Precision Clinical Trials, addresses why this has been difficult.
The authors identify several barriers, including diagnostic heterogeneity, limited biomarker validation, inconsistent treatment responses, and insufficient coordination across research institutions.
They recommend clearer biomarker definitions, harmonized measurement methods, independent validation, and cooperation among researchers, clinicians, regulators, and industry.
The objective is to establish reliable ways to identify which individuals are most likely to benefit from specific treatments.
Such information could eventually improve clinical trial design and reduce the amount of ineffective treatment selection.
However, the research remains at different stages of development.
A promising biomarker does not become clinically actionable merely because it appears in a peer-reviewed publication.
The field must demonstrate that a measurement meaningfully improves diagnosis, prognosis, treatment selection, or patient outcomes.
13. Why This Approach Is Not Yet Standard Clinical Practice
Despite its promise, precision psychiatry faces several substantial challenges.
First, most common psychiatric conditions involve biological and psychological complexity that cannot be captured by a single measurement.
Second, research findings often differ among populations and study methods.
Third, correlations between biomarkers and symptoms may be too small or inconsistent to guide individual decisions.
Fourth, advanced testing can be expensive, time-consuming, or difficult to implement.
Finally, environmental experiences, social conditions, and patient preferences must remain part of clinical decision-making.
The October 2026 Nature feature includes perspectives from researchers who are optimistic about the field's future and others who emphasize the repeated difficulty of translating biological discoveries into practical psychiatric tools.
These concerns are important.
A more sophisticated scientific explanation does not automatically produce more effective care.
Precision psychiatry must demonstrate that its methods outperform or meaningfully complement existing clinical approaches.
The future of the field depends not on how much information can be collected, but on whether that information improves decisions and outcomes.
14. What Can the Broader Healthcare Community Learn From Precision Psychiatry?
Although precision psychiatry remains a specialized research and clinical field, several of its underlying principles are relevant to healthcare more broadly.
One is the importance of individual variation.
People with similar symptoms may have different contributing factors, capacities, circumstances, and treatment needs.
Another is the value of integrating information from multiple domains.
Biological measurements, behavioral patterns, lifestyle habits, social circumstances, and subjective experiences can provide complementary perspectives.
A third principle is that classification should support clinical reasoning rather than replace it.
Diagnostic labels are useful, but they cannot describe every meaningful characteristic of an individual.
Finally, research-informed personalization requires ongoing evaluation.
Recommendations should be adjusted according to clinical findings, patient preferences, and measurable outcomes rather than rigid adherence to one predetermined protocol.
These principles are relevant to health coaching, rehabilitation, lifestyle medicine, and other forms of patient-centered care.
However, applying these general lessons does not mean that professionals outside psychiatry are practicing precision psychiatry.
It means recognizing the importance of individualized, evidence-informed healthcare within each professional's appropriate scope.
15. How These Ideas Inform Our Philosophy
We believe health is best understood through the interaction of biological, psychological, social, behavioral, and environmental processes.
The emerging field of precision psychiatry reinforces several principles that also inform our broader approach to wellness.
These include recognizing individual differences, considering relevant lifestyle and environmental influences, and avoiding overly simplistic explanations for complex health concerns.
Within our wellness and health-coaching services, we emphasize education and practical strategies involving nutrition, physical activity, sleep, stress management, and health-related behavior.
These domains can influence physical and psychological well-being, although their effects vary according to the individual and their circumstances.
We also recognize that psychological symptoms may coexist with sleep disorders, chronic pain, metabolic concerns, or other medical conditions that deserve appropriate assessment.
Our objective is not to attribute mental health conditions to nutritional deficiencies, inflammation, or other presumed biological abnormalities without sufficient evidence.
Nor do we claim that specialized laboratory panels, brain imaging, or wearable measurements can diagnose psychiatric disorders or determine psychiatric treatment.
Instead, the relevance of this research lies in its broader scientific philosophy: understanding the individual within the context of their biology, behaviors, and environment.
When patients have concerns requiring psychiatric diagnosis, psychotherapy, or psychiatric medication management, these services belong with appropriately licensed and qualified professionals.
Collaboration can help ensure that lifestyle support and broader wellness care complement established mental health treatment.
Conclusion: From Treating Categories Toward Understanding Individuals
The emerging field of precision psychiatry represents an important scientific effort to improve our understanding of mental health.
For decades, psychiatric diagnosis has relied primarily on recognizable patterns of symptoms and behavior.
These classifications remain valuable, but they do not fully explain why individuals with the same diagnosis may differ in biological characteristics, environmental experiences, or treatment responses.
Advances in neuroscience, genetics, digital technology, and systems biology are creating new opportunities to investigate these differences.
The goal is to develop validated measurements that can complement clinical assessment, identify meaningful patient subgroups, and improve future treatment selection.
However, precision psychiatry remains a developing field.
Many proposed biomarkers lack sufficient validation for routine clinical use, and the relationship between biological measurements and individual psychological experiences is often complex.
The most meaningful lesson is therefore not that technology will replace clinical judgment.
It is that scientific progress increasingly requires integrating multiple forms of evidence while recognizing the limitations of each.
The future of personalized healthcare is not simply about assigning more specific labels. It is about understanding why individuals differ, identifying the factors that meaningfully influence their health, and using that knowledge to support better-informed decisions.
We believe this direction reflects an important principle of comprehensive care: recognize the whole person, respect the complexity of human biology and experience, and use scientific evidence to guide appropriately individualized support.
Research References
Kas MJH, Penninx BWJH, Knudsen GM, et al. Precision psychiatry roadmap: towards a biology-informed framework for mental disorders. Molecular Psychiatry. 2025;30:3846–3855. https://doi.org/10.1038/s41380-025-03070-5
Adam D. The grand plan to transform psychiatry—by personalizing mental-health care. Nature. October 28, 2026;658:1116–1118. https://doi.org/10.1038/d41586-026-03391-7
Etkin A, O'Donnell P, Ressler KJ, Manji H. Towards precision psychiatry: initial foundations and future directions. Nature Reviews Drug Discovery. 2026;25:877–894. https://doi.org/10.1038/s41573-026-01509-0
Toward actionable biomarkers in psychiatry: a collaborative roadmap for precision clinical trials. An ACNP position paper. NPP—Digital Psychiatry and Neuroscience. 2026;4:18. https://doi.org/10.1038/s44277-026-00069-w