In-depth, sourced articles with no overblown promises — for patients, clinicians and employers.
A patient digital twin is a personalized virtual model, fed with data about one person and designed to inform a decision or simulate how their health may evolve. That definition covers very different uses, from anatomical models to predictive systems. Here is how to tell them apart without overestimating what they can do.
Exercising after work does not undo a day spent almost entirely seated. Preventing sedentary behavior at work means reducing and breaking up long periods of sitting by changing tasks, spaces, meetings and room for maneuver, rather than blaming employees.
Caring for someone can mean hands-on care, paperwork, supervision or daily support. The carer’s own health often slips down the list. Recognizing the role, watching a few signals and arranging cover are prevention, not abandoning the person you care for.
Heat, broken nights, fatigue or trouble concentrating can make work harder for some employees during perimenopause. Employers do not need to diagnose anything or collect medical information. What they can do is improve working conditions, offer confidential adjustments and make sure that asking for help never costs anyone their career.
Explainability is more than a heatmap or a generated sentence. In healthcare, an explanation has to fit the intended use, make sense to the person reading it, show uncertainty and support real human oversight. Here is a checklist to apply before and after deployment.
Prehabilitation uses the time before a planned operation to spot weaknesses and better prepare your body, your mind and your return home. It is not just about doing more exercise: what it involves depends on the operation, your health and your care team’s advice.
Your genes can affect how your body processes or tolerates certain medicines. But a pharmacogenetic test is neither a crystal ball nor a user manual: it only helps for well-documented gene-drug pairs, read alongside the rest of your record, and tied to a decision made by a professional.
A successful return is not decided on the first day back. It is prepared during the absence, without pressure and without asking the employee for a diagnosis. The employer’s job is to keep a respectful line open, work with occupational health, then put the agreed adjustments in place and follow them up.
A fall is neither an inevitable part of ageing nor just a problem with a rug. The risk usually comes from several factors at once: balance, strength, eyesight, medicines, footwear, the home. Preventing falls starts with spotting that risk, then building a plan with the right professionals.
An alert only makes care safer if it reaches the right person, at the right time, with an action they can take. When everything interrupts, nothing stands out. Reducing alert fatigue takes clinical governance, measurable criteria and a continuous improvement loop, not just a new interface.
Vaccination does not stop in childhood. As an adult, what is recommended depends on your country, your age, the vaccines you have already had, your health, your job and your travel. Here is how adult schedules are set, France’s 2026 schedule as a worked example, and a method to find your records, spot a due date and prepare a vaccine review, without deciding on a dose alone.
Sorting patients by risk level can help prioritize follow-up, provided each category triggers a proportionate action. Population, time horizon, calibration, missing data, bias and governance are settled before deployment. Risk stratification supports clinical judgment; it does not replace it.
Cancer screening programs invite people without symptoms to take a specific test at set intervals, and the details vary from country to country. Here is the European baseline, then France as a worked example: who is eligible, which test, how often, what a positive result means, and why a symptom should never wait for an invitation.
A helpline or a wellbeing app cannot make up for excessive workload, conflicting goals or a lack of control over one’s job. Workplace mental health starts with an honest look at how work is really done, and with collective action on its causes. Individual support still matters, as long as it never turns into surveillance.
Prevention is more than lifestyle advice. It acts before a disease appears, when it can still be caught early, and after diagnosis to limit complications. Understanding the primary, secondary and tertiary levels helps you build a coherent plan, without mistaking prevention for a promise of zero risk.
Data that has been exchanged is not necessarily data you can trust. Its quality cannot be judged in the abstract, only against the decision it supports. Here is a framework for measuring it by use case, correcting without erasing, tracking it over time and preparing data for an AI model.
Cardiorespiratory fitness, often expressed as VO2 max, is one of the markers most strongly associated with survival in large studies. It has another distinctive feature: you can train it. What the cohorts show, how to measure it without blindly trusting your watch, and what the evidence says about improving it.
Appointments go by fast. A few minutes of preparation are enough to describe your symptoms precisely, mention your treatments and ask the questions that matter. A simple method for before, during and after the visit, without trying to diagnose yourself.
Preventing type 2 diabetes and metabolic disorders at work is not about weighing employees or launching a step challenge. A useful program starts with the work environment, then offers voluntary individual support and strictly protects health data. Here is how to build it, and how to evaluate it without overpromising.
More and more patients ask how to “age better”, and a booming commercial market answers with exhaustive check-ups and promises of rejuvenation. Between the two, evidence-based longevity medicine is possible: assess function, treat established risk factors, measure fitness, and follow all of it over time.
A result in bold or marked with an asterisk is not a diagnosis on its own. Reference ranges vary with the lab and the method, and a value only makes sense in the context of the person tested. How to find your way around a lab report, prepare your questions and know when to act straight away.
PROMs capture what patients perceive of their symptoms, functioning and quality of life. Their value does not lie in the questionnaire alone, but in the workflow around it: a defined use, a validated instrument, a score discussed in the consultation and a documented action.
Across Europe, people are working longer and more workers over 55 are in employment. Their health has become a prevention and HR topic. Here is what employers can do, based on institutional sources: adapt work rather than target an age group, make use of the health checks that already exist, and leave each person’s health between them and their health professionals.
Watches, rings and sensors produce thousands of measurements, but not all of them help a medical decision. What gives data its value: a precise question, a device whose limits you know, context written down, and a summary a professional can read in a few minutes.
Protecting sleep at work does not mean tracking employees’ nights or telling them to fix their sleep habits on their own. It starts with schedules, shift rotations, breaks, commutes and after-hours messages. Here is how to build that approach collectively, without exposing anyone’s health data.
A blood draw or a saliva sample, and out comes a number: your biological age. Behind it lies serious research, but also estimates that disagree from one test to the next, and promises to “reverse” your age that the evidence does not back. What these tests measure, how much they are worth, and what to do with the result.
Moving a file between two systems does not make them interoperable. Patient identity, message structure, the meaning of codes and the place of the data in the team’s work all have to hold from end to end. Here is a framework for connecting data to the care pathway without adding yet another screen.
A useful medication list is more than a list of names. It records the dose, when you take it, why, who prescribed it, what changed and how you reacted. Kept up to date, it gives your doctor and pharmacist a reliable starting point, especially when a treatment changes or after a hospital stay.
When it comes to longevity, promises travel faster than evidence: supplements, daily protocols, “reverse your age by ten years”. What really matters is the number of years lived in good health, and science already has a lot to say about it. Here is what is established, what is uncertain and what is still a promise, ranked by strength of evidence.
Preventing musculoskeletal disorders takes more than reminders about lifting technique. The approach starts from real work: effort, repetition, posture, pace and room for maneuver. Here is how a company can act on the causes and track its progress without collecting individual medical data.
A useful preventive health check-up is not measured by the number of tests you take. It starts from your history, your risk factors and the recommendations that apply to you. Here is a four-step method to prepare the appointment, ask the right questions and leave with a clear plan.
Thirty seconds in front of your smartphone camera to estimate your heart rate, a regular call to check in on your health: through e-sensia, MyTwin integrates two technologies built on vision and voice. What they measure, how they work, and what they do not replace.
After a myocardial infarction, the medical emergency is only the first step. Rubens Valcy, founder of MyTwin, sat down with Valentine Antoine, Chief of Staff at Ensweet, to explore how telerehabilitation can extend patient support beyond the hospital.
What if thirty seconds of speech could one day tell us something new about our health? Rubens Valcy, founder of MyTwin, sat down with Lara Gervaise, co-founder of Virtuosis AI, to talk about voice biomarkers: what they measure, what they promise, and what they do not replace.
A useful personal health record is more than a pile of PDFs. It should help you find the right information, check where it comes from and share it with the right professional. Here is a practical method for organizing your medical history while protecting your privacy and respecting your doctor’s role.
Workplace heart health is not about collecting employees’ medical data. It combines supportive working conditions, information, voluntary participation and referral to the right professionals. This guide sets out a measurable approach that protects confidentiality while connecting collective prevention with individual care.
Strong performance on a dataset is not enough to make AI in medical imaging useful. Teams need to check its population, its role, its integration, its oversight and how it is monitored after deployment. Here are five conditions for moving from a technical demo to controlled clinical use.
Predictive health does not read the future. It uses data to estimate the probability of an event or a change within a defined context. Well understood, it can support prevention. Poorly presented, it can create false certainties. Here are the key points for interpreting a risk score.
Employees don’t all have the same needs, but their employer must not know their medical situation. A prevention platform can resolve this tension by strictly separating the individual journey from collective program management. Here are the design principles that protect both trust and usefulness.
Remote monitoring does not improve a care pathway simply by collecting data. Its value depends on a precise indication, interpretable alerts, a team able to respond and continuous evaluation. This framework helps care teams move from yet another dashboard to a genuine care protocol.
Asking for a second opinion is not challenging your doctor. It means seeking additional insight when a decision is serious, uncertain or hard to understand. To be useful, it takes a precise question, a complete medical file and a final conversation with the professionals involved in your care.
A prevention program should be judged neither by the number of apps purchased nor by a vague promise of savings. You need to measure its deployment, use, accessibility and effects, while protecting individual medical data. Here is a practical measurement framework for employers.
Real-world data describes health and care outside of controlled research settings. It can enrich follow-up between two consultations, provided it is relevant, reliable and built into an action protocol. Its value comes not from the volume collected, but from the decisions it helps inform.