concept

diagnosis

The process of identifying a disease or condition based on its signs and symptoms.
40 related articles

Description

Diagnosis is the process of identifying a disease or condition based on its signs, symptoms, and other clinical data. In modern medicine, diagnosis increasingly relies on advanced technologies such as genetic analysis, medical imaging, and machine learning algorithms that can detect patterns invisible to the human eye. Accurate diagnosis is the foundation of effective treatment, as it determines which interventions are appropriate.

History

The concept of diagnosis has ancient roots, with early physicians like Hippocrates emphasizing observation and classification of symptoms. The modern scientific approach to diagnosis developed in the 19th century with advances in pathology, microbiology, and imaging technologies.

How it works

Diagnosis typically involves gathering patient data through history-taking, physical examination, and diagnostic tests such as blood panels, imaging scans, or genetic sequencing. The data are then interpreted by clinicians or algorithms to determine the most likely cause of the symptoms. Machine learning models can be trained on large datasets of patient records to recognize subtle patterns that predict specific diseases, sometimes years before symptoms appear.

In practice

Diagnosis is used in every medical setting, from routine check-ups to emergency care, and increasingly incorporates AI tools for early detection of conditions like cancer, heart disease, and genetic disorders.

Fun fact

Some machine learning models can predict the onset of type 2 diabetes from routine blood test data up to 10 years before clinical symptoms appear.

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Related articles · 40

q-bio.QM2026-09-033 minarXiv:2609.03521
Three Interpreters of the Protein Language: Reading Crime Scene Traces
A stain is found at a crime scene. The expert takes a swab, and a few hours later the instrument outputs a list of proteins that made up the fluid. Previously, a rapid test could be wrong if multiple fluids were present: blood mixed with saliva, and the strip gave a false result.
Diagnosis by Reaction: What Healthy Brain Tissue Says About Disease
Imagine trying to figure out what happened in a room from the sound that lingers after a gunshot. The shot is gone, but the echo still bounces off the walls. That's roughly how a neuropathologist views a brain tissue section where the tumor itself is absent: the biopsy only captured healthy tissue that reacted to the disease.
q-bio.PE2026-07-161 minarXiv:2607.15104express
Why Not Every Contact Leads to Illness
Ordinary models assume that infection is like a steady flow of water that washes over everyone equally. In reality, the stream from a sick person fluctuates: right after infection it barely trickles, then turns into a raging downpour, and later subsides. The chance of catching the virus depends on the strength of this flow at the moment of contact.
Image Processing2026-07-151 minarXiv:2607.13601express
Video Instead of Dozens of Shots: Urine Analysis Made Easier
A drop of urine under a microscope isn't a flat puddle but a multi-layered volume. Like a stack of transparent pages: if you focus on one, the neighboring ones blur. The microscope's light only shows one depth layer sharply. To see all the cells, a lab technician had to take a series of snapshots, manually adjusting focus — tedious and slow.
eess.SY2026-07-151 minarXiv:2607.13914express
Epidemic Under Control: A Recipe for Systemic Approach
When a pipe bursts in the basement, a plumber acts step by step: locates the leak, measures the pressure, determines the cause, patches it up, and checks if it's dry. The same recipe — the standard model DMAIC — is being proposed against epidemics. First, they determine the scope — how many hospital beds are occupied, which industries are sagging.
q-bio.GN2026-07-151 minarXiv:2607.13994express
Invisible Connections in the Gene Network
When biologists measure the activity of thousands of genes, they usually just see a list of coincidences, like two ingredients in a soup that often end up together. The standard method looks for such pairwise connections but doesn't show who influences whom. A new approach, like a detector of dark matter, uncovers hidden threads of causation.
eess.AS2026-07-142 minarXiv:2607.12703express
Audio Diarization: How an Algorithm Catches Any Sound Event Without Prior Knowledge
Human hearing is wired so that the brain prioritizes familiar patterns — a friend's voice, the patter of rain, a car horn. But a new system works on a different principle: it registers any sound burst, even one never encountered before.
q-bio.QM2026-07-042 minarXiv:2607.03740express
Lamp Light Against Blindness: How Three Images Reveal Fungus or Bacteria
The eye is inflamed, the cornea clouding. The doctor needs to quickly determine the culprit — bacteria or fungus. The treatment depends on it. A mistake can cost sight. But the classic lab answer takes days, and in remote areas it may never arrive. Researchers from the US and India propose a different approach: three images from a slit lamp — a device found in nearly every eye clinic.
A Cookbook for Proteins
Think of a massive cookbook: each recipe is a protein, and the finished dish is its job in the cell. To whip up a complex treat, you often need to mix several ingredients and let them 'set' into the right shape. Until now, scientist-chefs could only guess how someone else's recipes would fold.
q-bio.QM2026-07-042 minarXiv:2607.06583express
How Every Cell Ages: A Journey Through the Methylation Landscape
DNA methylation consists of tiny chemical marks on our genes. Over the years, they change on a fairly strict schedule. Standard epigenetic clocks look at these marks and output a single number: biological age. But a number can't tell you how the pattern of marks rearranged day by day, year by year. The authors of this work decided to turn a static photograph into a continuous film.
Medical Physics2026-06-121 minarXiv:2606.14326express
Prick-Free Glucose Monitor: Spectroscopy Takes on Diabetes
Diabetes is a constant reminder of needles. To check glycated hemoglobin (HbA1c — a blood protein that reflects average sugar over three months), you need regular blood draws from a vein. It's unpleasant, requires a lab, and takes time. And if you live far from a city, every test becomes a major expedition. The new iGLU 5.0 device changes the game.
A Genetic Anchor for Health
You buy a new kitchen scale, but instead of exact weight, it only shows deviations from some "norm." To find out how much an apple weighs, you first have to weigh dozens of other apples and calculate the average.
Medical Physics2026-05-231 minarXiv:2605.26151express
Muscle Fatigue Visible Without a Touch
Your arm lifts a cup from the shelf — a familiar motion you don't notice until muscles tire. Then the trajectory changes: the elbow shifts slightly, the hand trembles. A doctor usually catches these changes by hand, feeling the patient's muscles.
Image Processing2026-05-223 minarXiv:2605.24179express
Why Your Hand Trembles but Your Legs Won't Move
For one person, the disease begins with a tremor in the hand — the cup dances on its saucer as they carry it to the table. For another, the legs suddenly refuse to move smoothly: the step becomes short and shuffling, as if the floor were suddenly covered in a sticky layer. These are not two different diseases but two faces of the same one — Parkinson's disease.
physics.data-an2026-05-171 minarXiv:2605.17518express
How chemical logic rescues spectra from noise
A spectrum is like a photograph of a material's inner workings, taken with light. When a beam passes through or reflects off a sample, molecules leave characteristic dark bands, peaks, on that photograph. But if the image is overexposed or veiled in gray, making out details becomes nearly impossible.
q-bio.MN2026-05-162 minarXiv:2605.16781express
Aging as Losing the Wheel
In a car, the steering, brakes, and accelerator gradually fail. At first, you can still swerve around a pothole, but each year the maneuver takes more effort. At some point, even a perfect road becomes impassable — the car no longer obeys the driver. That's exactly how the authors describe aging: not as the accumulation of rust or wear and tear, but as the loss of "controllability" of the body.
Optics2026-05-022 minarXiv:2605.01306express
Seeing the Invisible Gas: Lasers and Machine Learning
A hundred people are talking at once in a large hall. You try to hear one, but voices blend, some whisper, and you don't even suspect the existence of others. That's roughly how a conventional laser gas analyzer feels when dozens of substances mix in a combustion chamber or a factory pipe.
Artificial Intelligence Paves the Way for Optical Chips
A laser beam is split into dozens of thin filaments, passes through frosted glass, and reconverges to a single point. This is the workbench where the program took a seat. It received no instructions — only a general goal: figure out how light changes when passing through a scattering medium, and find something new.
q-bio.OT2026-04-261 minarXiv:2604.23773express
Microbial network rewires when the host falls ill
The microbial community in the gut is like an orchestra: what matters is not only the musicians but how they play together. When disease strikes, it's not just the lineup of microbes that changes: their interconnections shift too. Researchers built interaction networks of microbial genes in healthy and sick individuals.
Machine Learning2026-04-131 minarXiv:2604.11773express
The Crystal Finds Its Own Axis
In a lab where crystals are studied, a technician stares at a screen covered in bright spots and slowly rotates the sample, trying to get the spots to form a symmetric pattern. It's like tuning an old radio: you turn the knob until the static gives way to a clear signal. Now, a machine can turn that knob. Scientists have created a program that learns to align crystals without any knowledge of how those spots work.
q-bio.QM2026-04-111 minarXiv:2604.11824express
Machine Learning2026-04-051 minarXiv:2604.04175express
Doctors Don't See Everything: A Model Learns from Gaps
A typical medical neural network sees a patient as a point on a map: there's height, blood pressure, a blood test, and the model places a single label: "healthy" or "sick." But in a real hospital, the map is always torn. One test is done on Monday, another a month later, and the CT scanner is a different brand altogether. A point on such a map is self-deception.
q-bio.BM2026-03-241 minarXiv:2603.23775express
Diagnostics in the Palm of Your Hand: Electricity Instead of Optics
In a hospital, blood from a finger prick usually goes to the lab, and the result comes back the next day. The new method promises to cut that wait to a few minutes. Instead of catching light reflected off a sample, it reads the electrical voltage that arises at the boundary between two media, like the faint tingle you feel when you touch a battery with wet fingers.
Computer Vision2026-03-061 minarXiv:2603.06522express
An Ultrasound Image That Spots the Unseen
A doctor stares at a gray-white smudge on the screen. It's the face of an unborn child. One shadow in the right place, and you can plan surgery in time. But not everyone sees that shadow: cleft lip or palate is rare, and a young specialist might go years without ever spotting one.
Applied Statistics2026-03-031 minarXiv:2603.02616express
How to Peek Inside the Heart Without a Pricey Ultrasound
An electrocardiogram is like a recording of an engine's hum: an experienced mechanic can hear when something's off. A heart ultrasound shows the engine itself from the inside, but the machine is pricey and specialists are scarce.
q-bio.QM2026-02-281 minarXiv:2603.00678express
Genetic Precision Without Stability
You can edit a cell perfectly, and it still turns out useless. The gene is fixed exactly as planned, yet the cell behaves unpredictably: it drifts, changes fate, loses safety. It's like fixing one gear in a watch, but the watch still runs wrong because the whole mechanism is out of sync. Previously, a cell was viewed as a list of independent parts.
Signal Processing2026-02-281 minarXiv:2603.16891express
AI Reads Cardiograms Around the Clock
An electrocardiogram is like a long strip of paper on which the heart leaves its signature. A doctor studies it to catch rhythm disturbances, but when the recording lasts for days, the strip stretches for miles. The eye tires, attention wanders, and rare but dangerous irregularities can slip by. AI-HEART works like a tireless assistant that scans the entire strip without a break.
Galaxies2026-02-231 minarXiv:2602.20343express
Light from Distant Galaxies: How to Tell the Quiet from the Wild
A galaxy is not just a sprinkle of stars. At the center of many, something shines brighter than billions of suns: hot gas falling into a black hole. The color of this glow reveals what kind of life the galaxy leads — quietly birthing stars or violently consuming matter.
Machine Learning2026-02-211 minarXiv:2602.18769express
Mapping Disease: How to Link Genes and Ailments
Inside every cell, work is constantly underway: proteins communicate, genes turn on and off, and glitches in this system lead to disease. To find the culprit behind an ailment, scientists used to manually comb through research papers and databases, like a detective interviewing witnesses one by one. But there are so many connections that no one can handle it alone.
Machine Learning2026-02-192 minarXiv:2602.17531express
ECG Without Rose-Colored Glasses
An ECG is not just a wavy line on paper. Like a diary, it records the state of the entire heart: rhythm, wall thickness, and hints of future problems. But currently, programs that learn to read this diary are trained on very narrow tasks — mostly detecting arrhythmias. That's like teaching someone to understand a book by showing them only a list of typos.
Medical Physics2026-02-131 minarXiv:2602.12917express
Ultrasound Keeps an Eye on the Spine
Your back hurts, and the doctor asks you to bend forward and backward to see how your vertebrae move. Usually, this means a series of X-rays: they show motion, but only in a plane, like a shadow on a wall. And volumetric methods like CT scans can't keep up with movement. Engineers proposed a different approach: a robot sweeps an ultrasound probe over your back while you bend.
Optics2026-02-041 minarXiv:2602.04618express
Counting Blood Cells Without Lenses
A drop of blood lands on a tiny sensor, and within a minute the doctor knows how many different defenders are in it. That's the future of blood testing, brought closer by Danish engineers. Instead of a regular microscope with lenses, they built a lensless device. A cell flows over the sensor, which records a pattern of dark and light rings — a hologram.
Machine Learning2026-01-311 minarXiv:2602.00539express
Drugs That Should Never Meet
A doctor prescribes a pill for the heart and a pill for blood pressure. Individually, each helps, but together they can scramble signals in the blood and cause harm. These unwanted encounters between drugs are called interactions, and testing every pair in the lab is impossible: there are millions of them.
Medical Physics2026-01-261 minarXiv:2601.18219express
Diagnosis Without Lenses: Breast Cancer Seen Through Shadows
In a dark room, on a table, sit a laser pointer, a piece of glass with tissue, and an ordinary phone camera. Light passes through the sample, and the image shows not cells but a pattern of bright and dark stripes, like the shadow of leaves on a wall.
Machine Learning2026-01-213 minarXiv:2601.15530express
Catching Alzheimer's Without a Poke
A detective is looking for a criminal in a file of mugshots, but the portraits are mixed up. Usually, they expect a man with a gray beard, but the culprit is young and clean-shaven. Similarly, doctors often fail to recognize Alzheimer's disease in those who show unusual symptoms — not memory loss, but problems with vision or speech.
Biological Physics2026-01-172 minarXiv:2601.11947express
A Drop of Blood Tells Its Story Through a Single Molecule
A drop of blood is a bustling city in miniature. Thousands of different molecules scurry through it, each leaving its own trace. But peering directly into this city is hard: the streets are tangled, and there are so many inhabitants that counting them all individually is out of the question. Scientists have found a way to listen to the whole city at once, without singling out its residents.
q-bio.GN2026-01-142 minarXiv:2601.09758express
How to Tell a Technical Glitch from a Real Disease
Genetic diagnostics is like comparing two photos taken with different cameras. If one camera slightly shifts the colors, the image will show "defects" that don't exist in reality.
Machine Learning2026-01-011 minarXiv:2601.00192express
The Heart Under a Microscope: A Tiny Model Catches Arrhythmia in Half a Microsecond
An electrocardiogram is like a musical score, where each note is a heartbeat. A doctor hears the melody and spots the off-notes — arrhythmia. But listening to the score for hours is tiring, so a smart monitor is placed by the patient's bedside.
stat.ME2020-10-053 minarXiv:2010.02247
A Causal Map Without Intervention
An orchestra without a conductor plays in harmony, and you want to understand who influences whom. The violinist hears the cello, the cellist catches the rhythm of the percussion, and the flute adapts to everyone at once.
Mapping Bifurcation Landscapes: How Numerical Continuation Reveals Hidden Mechanisms in Delay Systems
A cartographer charting a route through a mountain range notes not only peaks and valleys but also passes where the trail sharply changes direction.