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

Remission Of Cancer!

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.

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How Artificial Intelligence Is Transforming Patient Care in India

As a clinician working closely with patients across urban clinics and remote teleconsultation setups, I have seen firsthand how delayed diagnosis, fragmented follow-up, and specialist shortages affect outcomes in India. Artificial intelligence is not a futuristic concept in Indian healthcare anymore. It is actively reshaping how we diagnose diseases, monitor patients, and prevent complications.

AI, when used responsibly under clinical supervision, is becoming a critical support system for doctors and a powerful safety net for patients navigating a complex healthcare ecosystem.

Why India’s Healthcare System Needs AI

India’s healthcare challenges are deeply structural. A large population burdened by lifestyle diseases, combined with uneven access to medical expertise, creates gaps that traditional systems struggle to bridge.

In daily practice, we increasingly see patients presenting late with diabetes, hypertension, heart disease, or cancer. Many ask a simple but important question: why was this not detected earlier? The answer often lies in limited screening, overloaded clinicians, and lack of continuous monitoring.

Chronic conditions dominating Indian clinics today include:

Diabetes affecting over 100 million individuals.
Hypertension rising even among young adults.
Cardiovascular disease driven by late detection.
Increasing cancer incidence with delayed diagnosis.

AI matters here because it supports earlier identification of risk patterns, reduces diagnostic delays, and allows clinicians to focus on decision-making rather than data overload.

How AI Is Changing Medical Diagnosis

One common concern patients raise during consultations is whether AI can truly diagnose diseases accurately. In practice, AI does not replace a doctor. It acts as a high-speed analytical assistant.

AI in Imaging and Diagnostics

AI systems can rapidly analyse:

X-rays and CT scans.
MRI images.
Mammograms.
Pathology slides.
Cardiac and neurological imaging.

These tools flag abnormalities within seconds, allowing doctors to prioritise critical findings. Clinical studies published in peer-reviewed journals have shown that AI models can match specialist-level accuracy for specific imaging tasks when used correctly.

From a physician’s perspective, the real benefit is not speed alone. It is consistency. AI reduces the risk of missed findings during high-volume diagnostic workflows, especially in resource-constrained settings.

Can AI Monitor Patients Outside Hospitals

Patients managing chronic illness often ask whether technology can help them avoid repeated hospital visits. AI-enabled remote monitoring is one of the most meaningful advances in this area.

AI-Supported Remote Patient Monitoring

AI continuously evaluates trends in:

Blood pressure.
Heart rate variability.
Blood glucose patterns.
Oxygen saturation.
Physical activity and sleep quality.

Rather than reacting to a single abnormal value, AI identifies worsening trends over time. Clinically, this allows early intervention before complications escalate.

Evidence from global health system studies shows that continuous monitoring can significantly reduce avoidable hospital admissions, particularly for diabetes, heart disease, and elderly patients.

Using AI to Predict and Prevent Chronic Diseases

Preventive healthcare remains underdeveloped in India. Most patients seek care after symptoms appear. AI helps shift this model.

By analysing medical history, lifestyle habits, vitals, and environmental factors, predictive models can estimate:

Future heart attack risk.
Progression of diabetes.
Decline in kidney function.
Stroke probability.
Asthma exacerbation triggers.

Patients often ask if AI can really prevent disease. Prevention here means early warnings. When risk patterns are detected early, doctors can adjust treatment plans, recommend lifestyle changes, and prevent irreversible damage.

Personalised Treatment in a Diverse Indian Population

Indian patients differ widely in genetics, diet, stress patterns, and cultural habits. Standardised treatment protocols often fall short.

AI supports personalised care by analysing:

Medication responses.
Dietary intake.
Blood markers.
Sleep and stress trends.
Coexisting medical conditions.

For example:

In diabetes care, AI helps personalise carbohydrate distribution and medication timing.
In hypertension, it identifies sodium sensitivity and stress-related spikes.
In hormonal conditions like PCOS, it aligns nutrition and activity with cycle patterns.

From a clinical standpoint, personalised insights improve adherence and reduce relapse rates.

AI-Enabled Telemedicine and Smarter Consultations

Telemedicine has become an essential part of care delivery in India. Patients frequently ask whether online consultations are as effective as in-person visits.

AI enhances telemedicine by:

Structuring symptom inputs before consultations.
Routing patients to the appropriate specialist.
Generating concise medical summaries for doctors.
Supporting follow-up reminders and medication adherence checks.

When used correctly, AI reduces diagnostic delays and improves consultation efficiency without compromising safety.

Expanding Healthcare Access Beyond Cities

A major question in public health is whether AI can truly improve rural healthcare access. In practice, it already is.

AI enables:

Remote diagnostics supported by portable devices.
Virtual specialist consultations for rural clinics.
Smartphone-based imaging and screening tools.
AI-guided triage in underserved regions.

By reducing dependence on physical proximity to specialists, AI helps bridge longstanding geographical barriers in India’s healthcare system.

Safety, Ethics, and the Role of Doctors in AI Care

Patients rightly express concern about safety, privacy, and over-reliance on technology. These concerns are valid.

Responsible AI use in healthcare requires:

Transparent algorithms.
Explicit patient consent.
High-quality, verified medical datasets.
Strict data privacy safeguards.
Continuous clinical supervision.

In ethical practice, AI outputs never replace medical judgment. Doctors remain accountable for decisions. Human-in-the-loop verification is essential to ensure patient safety and trust.

What This Transformation Means for Indian Patients

Artificial intelligence is fundamentally changing patient care in India by making healthcare more proactive, more precise, and more accessible. From early diagnosis to personalised treatment and continuous monitoring, AI empowers both patients and clinicians with data-backed clarity.

SecondMedic’s patient-first approach integrates AI as a clinical support system, not a replacement for doctors. By combining medical expertise with digital intelligence, the goal remains simple: better outcomes, earlier intervention, and care that adapts to each patient’s real-world needs.

As clinicians, our responsibility is to ensure that technology serves patients ethically and effectively. When used with care and oversight, AI has the potential to redefine healthcare delivery across India in a way that is inclusive, preventive, and sustainable.

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