• Published on: Nov 05, 2021
  • 3 minute read
  • By: Second Medic Expert

Remission Of Cancer!

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Remission of cancer!

Cancers under remission can return at any time. This does not mean that any more treatment is needed, simply that the patient needs to continue with normal cancer prevention measures such as check-ups and screenings. Cancer cells almost always linger on by replicating just a little more than healthy cells and they do so without causing symptoms for some time usually causing no harm and occasionally doing good by consuming some other kind of damaged cell. The problem is when they suddenly multiply into a big enough population to really cause trouble which happens largely because something changed in their environment--the toxins didn't change but the tissue became less able to handle them or somehow the cancer cell got its growth signals restored or something like that.

Remission of cancer (or more accurately, the term 'complete remission') is typically interpreted as the situation where there are no detectable traces of cancer left in the patient's body through means such as X-Rays or CT Scans. Other medical definitions of remission include keeping levels of tumor markers down enough to draw a conclusion.

Whether or not remission is attributable to treatment can be disputed but what happens after it takes place does not seem like a coincidence - post-remitters experience less cardiovascular disease and Alzheimer's than those who never experienced remission.

This usually happens if the cancer is in remission. The word "remission" means to stop talking, so it's a way of saying that cancer has stopped progressing and not spread to other parts of the body. This is often temporary and doesn't mean that the patient has been cured or will never get sick again. If anything, else happens, such as a recurrence of their cancer, they'll probably need treatment again to cure it for good.

The condition of being cancer-free is called remission. To say someone has been cured of cancer, a doctor wants to see a period of five years with no signs or symptoms, so they’ve done some follow-up testing and the signs are negative. Their body just isn’t producing any cells that have those abnormal changes characteristic of cancer, which is what it means for someone to be cured of cancer. This can occur because of conventional or alternative therapies as well as natural treatments such as diet and lifestyle changes.

Remission is after an interval (parents), during which there were detectable but not distressing symptoms (or no symptoms) attributable to the disease; the near-complete disappearance (paling).

It might take years but you can repair your intestinal tract and get it working normally again. One of the main systemic effects of intestinal healing is improved immunity, so consider that when choosing foods.

A remission is a temporary stopping of the growth or spreading of cancer. The term "remission" only applies to certain cancers and may not apply depending on what type of cancer it is, especially since there are multiple types and classification systems for different types and stages of cancers. For instance, lymphoma can be in remission because it has stopped growing or spreading but if it starts back up again it would not be considered to have been in remission. It's possible for someone with metastatic prostate cancer to experience a remission from their disease, which does not mean that they are cured since they will probably need additional treatments. In other words, there is still no cure-all treatment available that works on all cancers.

There are three possible outcomes of any cancer diagnosis. The first is a cure, which would be that the cancer is cleared completely, meaning it can't be detected at all. Secondly, there is remission (promotion), which means that cancer shrinks down but isn't gone yet; this may last weeks or months. Lastly, there's extension-the cancer continues to grow and spread without slowing down; this one does not have a good prognosis for survival rates.

For most cancers, a remission is an option if it's caught early enough before too many cells have divided and started to cause trouble somewhere else in the body.

At this time, there is no cure for cancer. Some doctors advocate that "remission" of cancer lasts until the disease recurs, after which point it becomes metastatic (meaning that it has spread to other parts of the body). What this means in practical terms is that metastatic cancers are unlikely to be cured by any treatment. There are some exceptions including events where the patient's immune system has eradicated all traces of their tumor -- called spontaneous remission. It is difficult to tell if a tumor will relapse once it has gone into remission since much can change in one's life or health between diagnosis and relapse.

In 2013, studies have shown that removal of 85% or more of stomach cancer cells led to a 10% reduction in the risk of relapse. In other words, as long as ample amounts of stomach cancer cells are removed at surgery, there is a statistically significant chance that remission will be achieved.

Read Blog
Machine Learning in Healthcare India: A New Era of Predictive and Personalized Care

Machine Learning in Healthcare India: A New Era of Predictive and Personalized Care

Machine learning is driving one of the biggest transformations in Indian healthcare. Machine learning in healthcare India is improving diagnostics, predicting diseases early, and enabling personalized treatment plans based on large volumes of medical data. India’s enormous population, diverse health patterns, and rising burden of lifestyle diseases make ML an essential technology for improving care outcomes.

SecondMedic integrates machine learning across diagnostics, risk scoring, preventive care, and remote monitoring to create intelligent, data-driven healthcare experiences.

Why Machine Learning Is Crucial for India’s Healthcare

India faces major challenges: increasing chronic diseases, low doctor-to-patient ratio, and gaps in early diagnosis. Machine learning helps overcome these limitations through automated analysis and predictive insights.

ML supports:

  • Accurate disease prediction

  • Faster diagnosis

  • Personalized treatment

  • Proactive health management

  • Population-level insights
     

These benefits significantly improve care outcomes.

Machine Learning in Diagnostics

ML excels at interpreting complex medical data faster than traditional methods.

ML improves diagnostics by:

  • Identifying abnormal patterns

  • Analyzing imaging scans

  • Interpreting lab values

  • Comparing historical trends

  • Supporting clinical decisions
     

This reduces misdiagnosis and saves time.

Predictive Healthcare with Machine Learning

Predictive analytics is one of the most powerful ML applications.

ML predicts risks for:

  • Heart disease

  • Diabetes

  • Kidney disorders

  • Thyroid imbalances

  • Mental health issues

  • Respiratory disorders
     

SecondMedic provides predictive scoring for early detection.

Personalized Treatment Planning

Machine learning tailors treatment to individual needs.

ML personalizes care based on:

  • Age and genetics

  • Lifestyle patterns

  • Vitals and wearable data

  • Sleep and stress levels

  • Previous medical history
     

This ensures more accurate and effective treatment.

ML in Remote Patient Monitoring

With the rise of home healthcare, ML analyzes continuous vitals data.

ML monitors:

  • Heart rate

  • Blood oxygen

  • Blood sugar

  • Blood pressure

  • Sleep cycles
     

AI-generated alerts support timely intervention.

ML in Medical Imaging

ML enhances imaging interpretation by detecting subtle visual patterns.

Applications include:

  • Lung infections

  • Cancer markers

  • Cardiac abnormalities

  • Brain lesions

  • Kidney anomalies
     

This improves radiology accuracy and speed.

ML for Population Health in India

ML identifies health trends at a large scale, helping policymakers and hospitals plan resources.

ML provides:

  • Outbreak prediction

  • Disease burden patterns

  • Community health insights

  • Regional risk mapping
     

These tools help improve national healthcare planning.

Challenges in ML Healthcare Adoption

While ML is powerful, challenges include:

  • Data quality issues

  • Need for clinical validation

  • Privacy concerns

  • Infrastructure limitations

  • Need for skilled professionals
     

SecondMedic follows ethical ML standards and ensures secure data practices.

Future of Machine Learning in Indian Healthcare

Upcoming innovations include:

  • Deep learning diagnostics

  • Digital health twins

  • Fully AI-driven preventive dashboards

  • ML-based robotic treatments

  • Genomic ML predictions
     

SecondMedic is committed to building future-ready ML healthcare solutions.

Conclusion

Machine learning in healthcare India is transforming medical care through predictive analytics, personalized treatment, and early disease detection. SecondMedic uses machine learning across its digital ecosystem to deliver accurate, efficient, and patient-centered care.

To explore ML-powered healthcare tools, visit www.secondmedic.com

References

  1. NITI Aayog – AI & ML in Indian Healthcare

  2. WHO – Machine Learning in Clinical Practice

  3. ICMR – India Chronic Disease Data

  4. IMARC – AI & ML Healthcare India

  5. FICCI – Emerging Health Technologies India

See all

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