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© Clinical NLP 2026 Protocol

First published on August 2, 2026

  • The Round 4 (R4) Text Mining X © 2026 Clinical NLP

Lexicons : Primary & Secondary Classification

In R4, conducted on August 2, 2026, we have integrated 17 new unique lexicon themes relevant to the field of clinical medicine (R1 – R3: 41 secondary lexicons). The clinical library now comprises a total of 58 unique themes.

New protocols: Text mining X ©2026 NLP

The structural design of the new text mining X ©2026 NLP provides a substantial advantage, as it facilitates the flexible integration of various themes into a unified library for the project. For example, it is feasible to combine secondary lexicons, such as switch regimen, CAR-T, BNCT, TIL, cancer, immunotherapy, chemotherapy, and artificial intelligence technologies, into a comprehensive clinical lexicon library.

Workflow from text mining with AI extracting data, storing in database, to typist transcribing reports

The table below delineates the recently identified lexicon themes in R4 text mining, categorized according to their respective family lexicons: Clinical, Economics, Computer Science, and Biomedical Engineering. Furthermore, previously acknowledged secondary lexicons have undergone revision in this iteration. It is imperative to underscore that the current text mining / tokenization procedure includes the extraction of abstracts from published books. Each theme contains a string of search terms.

Table1 2026Aug secondary lexicons descriptionDownload

NLP protocol clinical lexicons V2.0.1 (2026); updated Aug 13, 2026

Secondary LexiconsYears capturedCommon related termsFamily Lexicon
Switch regimen2014 – 2026Dose response, new medication, medicine adoptionClinical
Adverse event2014 – 2026Dose response, anaphylaxis, angioedema, shockClinical
Transplant2014 – 2026Transplantation, dose response, end-stageClinical
Disease severity2014 – 2026Patient’s outcomes, regimen, disease managementClinical
Pain management2014 – 2026Management, regimen, dose response, Clinical
Waiting list2014 – 2026Transplant, organ, consolidative therapiesClinical
Dose response2014 – 2026Radiation, therapy, remission, regimenClinical
Disease diagnosis2014 – 2026Waiting time, admission, disease severity, ERClinical
GI2014 – 2026Gastrointestinal, colon, bowel, rectum, HPV, bacteriaClinical
Chemo.immuno2025 – 2026Chemotherapy, immunotherapy, cancerClinical
Ocular2014 – 2026Eye disease, macular degenerative, eye laserClinical
Neurodegenerative2014 – 2026Aging, Parkinson’s, Alzheimer’s, DementiaClinical
Infectious diseases2014 – 2026Vaccination, preventative medicine, interventionsClinical
Renal2023 – 2026Kidney failure, end-stage, dialysis, cancer, diabetesClinical
Weight2023 – 2026Binge, alcohol-intake, dietary, tobaccoClinical
Obesity2014 – 2026Fat, cholesterol, diabetes, tobaccoClinical
Reproductive health2020 – 2026Menstrual cycle, HPV, sperm count, prostate, uterine, fertility, PCOSClinical
STD | STI2014 – 2026AIDs, HIV, contraceptives, circumcision, vertical transmissionClinical
Burns2023 – 2026Skin, wound healingClinical
Personalised medicine2014 – 2026Gene therapyClinical
Facial reconstructive2018 – 2026Botox, Ramsey’s Hunt, Bell’s Palsy, asymmetryClinical
Mental-health disorder2014 – 2026Dissociative identity disorderClinical
Psychological trauma2014 – 2026Grief, psychosisClinical
CAR-T2014 – 2026Cancer, T-cell, NK, end-stage, transplantClinical
Consolidative therapy2014 – 2026CAR-T, cell transfusion, bridgingClinical
Radiotherapy2016 – 2026Radiation, therapy, remission, irradiationClinical
Rare diseases2014 – 2026Genetics, orphan drug, sporadic, hereditaryClinical
Lymphedema2014 – 2026Limb swelling, lymphatic drainageClinical
Palliative care2014 – 2026Chronic, aging, QoLClinical
Osseointegration2014 – 2026Limbs salvage, prosthesisClinical
Cardiovascular2020 – 2026Heart, blood vessels, aorta, cholesterol, strokeClinical
Senescence2014 – 2026Aging, ageing, frailtyClinical
Oral health2020 – 2026Dental, oral hygiene, gums, infectious diseases, implantsClinical
Dyskinesias2014 – 2026Parkinson’s, tremorClinical
TIL2014 – 2026Cancer, CAR-T, tumorClinical
BNCT | BNIT2014 – 2026Cancer, CAR-T, tumorClinical
Alternative medicine2014 – 2026ComplimentaryClinical
Chinese medicine2014 – 2026TCM, Acupuncture, herbsClinical
Finger tips2014 – 2026Fingerbed, finger nailsClinical
Laryngeal2014 – 2026Vocal cord, throatClinical
Knee arthroplasty2014 – 2026Medialis, Knee replacement, bone densityClinical
Trauma2021 – 2026ER, hospital, blood transfusion, surgeryClinical
Skin discoloration2014 – 2026Hyperpigmentation, melasma, acne, vitiligoClinical
Brain cancer2014 – 2026Glioblastoma, tumor, nerveClinical
Sports2022 – 2026Athletes, Olympics, elite, competitive sportsClinical
Statistics2016 – 2026Survival analysis, bayesian statistics, regression models, MarkovClinical
Family planning2014 – 2026Contraceptives, incentives, fertility, maternity leaveEconomics
Cost-benefit | Cost-effectiveness2014 – 2026Expenses, budget, policy, project managementEconomics
Cost-utility2014 – 2026Patient’s outcomes, health evaluation, happiness indexEconomics
Insurance2014 – 2026Actuarial science, underwriting, claimsEconomics
QoL2023 – 2026Likert scale, quantitative, qualitativeEconomics
Supply chain2014 – 2026Manufacturing, logistics, workflow deliverance Economics
Imaging scans2021 – 2026MRI, CT, PET, Ultra-soundBiomedical Engineering
Multi-person2000 – 2026Gait monitoring, wireless, remoteComputer Science
Geospatial2014 – 2026Maps, mappingComputer Science
Predictive tools2014 – 2026Futures, images, projectionComputer Science
AI, ML2014 – 2026Technology, devices, timeComputer Science
Diagnostic devices2014 – 2026Disease severity, progressionComputer Science

August 2nd 2026

A concise video demonstration elucidates the utilization of clinical lexicons systematically arranged within a library, wherein assessments and evaluations of opinions within a clinical context are conducted and scored accordingly. In this instance, the default library has been established as – Dose response.

Additional video materials have been uploaded on September 1st 2026 in the following section – Long Video (Vid 2- 4).

Video 1: Previous NLP prompts on antibiotics as OTC option, and the new features in clinical lexicon library selection.



📣 N.B., The current video presents a prototype bypass designed to facilitate the selection of secondary lexicon themes. Typically, in order to access the hands-on mode for NLP sentiment analysis, users are required to log in with valid credentials and input the catalyst keys to unlock the contents in the decrypter. Visit the Generation 2-fox decrypter for more information on how the feature is stacked ; click here

September 1st 2026

For an optimal visual experience, we kindly request that you wait for the internet connection to complete its buffering process. If you are watching the videos from your mobile, a gentle reminder to rotate your screen for better visual experience.

Video 2: Analyzing Previous NLP Prompts: 
Prompt 1 & 2 – Antibiotics Available Over the Counter (OTC) ; 
Prompt 3 & 4 – Strategies to Manage Overcrowded Emergency Rooms. 



In this instance, the two themes were evaluated utilizing an incomplete or non-representative clinical lexicon library during the process of sentiment score calibration. While it can be argued that the default library, which comprises clinical terminology, ought to be adjusted to fit the clinical context in various aspects, it does not provide a definitive standardization nor a reproducible method for calibrating the opinions of all experts. Although the Stopwords feature may aid in some aspects of calibration, users should be aware that it does not guarantee complete standardization. 

Music: Ryo Yoshima – Sound of Ocean (Released 2016)

Video 3: Swapping themes from the default library: CART-T, AI, and Consolidative Therapy (Round 4 data mining and tokenization). This demonstration provides two positive sentiment responses regarding CAR-T therapy for cancer patients, while the final example showcases the application of the default library in the context of tuberculosis (TB) and vaccination, which fall under the broader categories of medical and sociological fields, such as epidemiology. It is conceivable that lexicons related to tuberculosis, infections, and boosters are appropriately calibrated in this context; however, lexicons concerning vaccination and age-related issues may not be sufficiently calibrated.

Video 4 Challenges in AI diagnostic tools. This video discusses AI-based diagnostic tools for cancer in gastrointestinal contexts, focusing on their accuracy as well as their detection sensitivity and specificity. It is important to note that the default library containing CAR-T, AI and Consolidative Therapies clinical lexicons, may not provide a comprehensive standardisation of the sentiment scores, which could lead to inaccuracies in these scores.

©Keras360 wishes to extend its sincere gratitude to all individuals who have remained engaged with our updates and those who are interested in utilizing our NLP protocol for the Delphi Method. Should you wish to apply the NLP protocol to other disciplines, we invite you to connect with us at contact.general@keras360.io.

StopWords 🈲 🛑 What are stopwords? 
They are a category of lexicons that are deemed to have no significant impact on the sentiment score. Most NLP protocols exclude stopwords at the outset of the calculation, prior to calibration.

The list of standard StopWords would often include : He, She, It, We, They, Their, Those, etc.

The advantage of secondary lexicons

A notable advantage of employing secondary lexicons resides in their capacity to address specific research topics, such as “Grip Strength,” which is frequently utilized as an inferential metric for evaluating physical frailty in clinical observational studies. In circumstances where such topics are not encapsulated within the previously mentioned table, it may be prudent to employ a combination of secondary lexicons—specifically those related to Aging and Senescence, in conjunction with Quality of Life and Palliative Care—when undertaking NLP sentiment analysis. Secondary lexicons associated with the research theme should be incorporated into the project library.

Three foxes reading books titled 'Burrows & Legends' surrounded by film strips and darkroom bottles labeled 'Film Developer' and 'Fixer'

Click on the tabs below to learn more 🤓

The inaugural clinical NLP protocol was developed in the spring of 2024 and officially launched in June 2024, with the primary objective of ensuring the accurate alignment and weighting of tokens and lexicon weights within a clinical context. Expert opinions, alongside perspectives from healthcare professionals and patients, are effectively represented through weighted scores that reflect their views on various issues. This initiative marked Keras360’s inaugural foray into English NLP for clinical studies and evidence-based medicine (2024/2025).

In August 2026, a comprehensive restructuring of the clinical lexicon library underscored the critical necessity to adapt our new ©2026 NLP protocol. Our objective is to enhance the speed of calculations while optimizing the weights of perspectives, thus establishing a clear demarcation between favorable and unfavorable opinions, including distinctions between dislike and hate.

It is implemented in situations where opinions are significant, necessitating the imposition of decisions to enforce policies aimed at improving healthcare management, sales, marketing and complex workflows. Natural Language Processing (NLP) seeks to comprehend the sentiment of each opinion, deriving a value that is representative in relation to other participants; e.g. Delphi Method; Delphi Consensus.

Currently, it is exclusively integrated within the 09-tailed fox decrypter, Generation 2. However, the protocol can be implemented or imported as a stack in nearly any user interface.

We are phasing out the old protocol operations prior to the conclusion of September 2026. Alongside the 2024/2025 NLP protocol, the text mining procedure that underpins the foundation of the R1 – R3 clinical lexicon library will be duly archived.

Generation 2 Fox Decrypter shall continue its service in NLP-sentiment analysis; ©2026 NLP protocol.

**Please be advised that the information provided on this page is accurate as of September 1st, 2026.

Related pages

R1 – R3 Clinical Lexicon Library
Gen 2 Fox Decrypter NLP