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.

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.
NLP protocol clinical lexicons V2.0.1 (2026); updated Aug 13, 2026
| Secondary Lexicons | Years captured | Common related terms | Family Lexicon |
| Switch regimen | 2014 – 2026 | Dose response, new medication, medicine adoption | Clinical |
| Adverse event | 2014 – 2026 | Dose response, anaphylaxis, angioedema, shock | Clinical |
| Transplant | 2014 – 2026 | Transplantation, dose response, end-stage | Clinical |
| Disease severity | 2014 – 2026 | Patient’s outcomes, regimen, disease management | Clinical |
| Pain management | 2014 – 2026 | Management, regimen, dose response, | Clinical |
| Waiting list | 2014 – 2026 | Transplant, organ, consolidative therapies | Clinical |
| Dose response | 2014 – 2026 | Radiation, therapy, remission, regimen | Clinical |
| Disease diagnosis | 2014 – 2026 | Waiting time, admission, disease severity, ER | Clinical |
| GI | 2014 – 2026 | Gastrointestinal, colon, bowel, rectum, HPV, bacteria | Clinical |
| Chemo.immuno | 2025 – 2026 | Chemotherapy, immunotherapy, cancer | Clinical |
| Ocular | 2014 – 2026 | Eye disease, macular degenerative, eye laser | Clinical |
| Neurodegenerative | 2014 – 2026 | Aging, Parkinson’s, Alzheimer’s, Dementia | Clinical |
| Infectious diseases | 2014 – 2026 | Vaccination, preventative medicine, interventions | Clinical |
| Renal | 2023 – 2026 | Kidney failure, end-stage, dialysis, cancer, diabetes | Clinical |
| Weight | 2023 – 2026 | Binge, alcohol-intake, dietary, tobacco | Clinical |
| Obesity | 2014 – 2026 | Fat, cholesterol, diabetes, tobacco | Clinical |
| Reproductive health | 2020 – 2026 | Menstrual cycle, HPV, sperm count, prostate, uterine, fertility, PCOS | Clinical |
| STD | STI | 2014 – 2026 | AIDs, HIV, contraceptives, circumcision, vertical transmission | Clinical |
| Burns | 2023 – 2026 | Skin, wound healing | Clinical |
| Personalised medicine | 2014 – 2026 | Gene therapy | Clinical |
| Facial reconstructive | 2018 – 2026 | Botox, Ramsey’s Hunt, Bell’s Palsy, asymmetry | Clinical |
| Mental-health disorder | 2014 – 2026 | Dissociative identity disorder | Clinical |
| Psychological trauma | 2014 – 2026 | Grief, psychosis | Clinical |
| CAR-T | 2014 – 2026 | Cancer, T-cell, NK, end-stage, transplant | Clinical |
| Consolidative therapy | 2014 – 2026 | CAR-T, cell transfusion, bridging | Clinical |
| Radiotherapy | 2016 – 2026 | Radiation, therapy, remission, irradiation | Clinical |
| Rare diseases | 2014 – 2026 | Genetics, orphan drug, sporadic, hereditary | Clinical |
| Lymphedema | 2014 – 2026 | Limb swelling, lymphatic drainage | Clinical |
| Palliative care | 2014 – 2026 | Chronic, aging, QoL | Clinical |
| Osseointegration | 2014 – 2026 | Limbs salvage, prosthesis | Clinical |
| Cardiovascular | 2020 – 2026 | Heart, blood vessels, aorta, cholesterol, stroke | Clinical |
| Senescence | 2014 – 2026 | Aging, ageing, frailty | Clinical |
| Oral health | 2020 – 2026 | Dental, oral hygiene, gums, infectious diseases, implants | Clinical |
| Dyskinesias | 2014 – 2026 | Parkinson’s, tremor | Clinical |
| TIL | 2014 – 2026 | Cancer, CAR-T, tumor | Clinical |
| BNCT | BNIT | 2014 – 2026 | Cancer, CAR-T, tumor | Clinical |
| Alternative medicine | 2014 – 2026 | Complimentary | Clinical |
| Chinese medicine | 2014 – 2026 | TCM, Acupuncture, herbs | Clinical |
| Finger tips | 2014 – 2026 | Fingerbed, finger nails | Clinical |
| Laryngeal | 2014 – 2026 | Vocal cord, throat | Clinical |
| Knee arthroplasty | 2014 – 2026 | Medialis, Knee replacement, bone density | Clinical |
| Trauma | 2021 – 2026 | ER, hospital, blood transfusion, surgery | Clinical |
| Skin discoloration | 2014 – 2026 | Hyperpigmentation, melasma, acne, vitiligo | Clinical |
| Brain cancer | 2014 – 2026 | Glioblastoma, tumor, nerve | Clinical |
| Sports | 2022 – 2026 | Athletes, Olympics, elite, competitive sports | Clinical |
| Statistics | 2016 – 2026 | Survival analysis, bayesian statistics, regression models, Markov | Clinical |
| Family planning | 2014 – 2026 | Contraceptives, incentives, fertility, maternity leave | Economics |
| Cost-benefit | Cost-effectiveness | 2014 – 2026 | Expenses, budget, policy, project management | Economics |
| Cost-utility | 2014 – 2026 | Patient’s outcomes, health evaluation, happiness index | Economics |
| Insurance | 2014 – 2026 | Actuarial science, underwriting, claims | Economics |
| QoL | 2023 – 2026 | Likert scale, quantitative, qualitative | Economics |
| Supply chain | 2014 – 2026 | Manufacturing, logistics, workflow deliverance | Economics |
| Imaging scans | 2021 – 2026 | MRI, CT, PET, Ultra-sound | Biomedical Engineering |
| Multi-person | 2000 – 2026 | Gait monitoring, wireless, remote | Computer Science |
| Geospatial | 2014 – 2026 | Maps, mapping | Computer Science |
| Predictive tools | 2014 – 2026 | Futures, images, projection | Computer Science |
| AI, ML | 2014 – 2026 | Technology, devices, time | Computer Science |
| Diagnostic devices | 2014 – 2026 | Disease severity, progression | Computer Science |
Short Video
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 will be uploaded in September 2026. We invite you to connect with us to gain further insights into clinical lexicons utilized for NLP sentiment analysis.
📣 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
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.

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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. Investigators and members of the public will have the opportunity to review and become acquainted with these changes in September 2026.
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 August 13, 2026.
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