#cancer care

[eatclean-bewhole]

To anyone that thinks cancer is incurable I say, “Have you met my mother?”

If you haven’t heard her story by now, my mom healed from cancer naturally. She did not want to use conventional treatments (chemo or radiation) because of what she saw close friends go through on them, and none of their outcomes were favorable. Instead, nutrition was her primary medicine. Her healing protocol involved regular juicing, detoxing, fasting, a plant-based alkaline diet, individualized supplementation, ozone water (oxygenated water), infrared sauna time, stress management, surrounding herself with love and support….

My mom understood that the disease took years to manifest, so she was committed to this healing lifestyle for years. As a result, she restored balance and she healed.

Google your condition and cases where people have healed from it. If there’s even one result, let that give you hope that your condition is not incurable. But know that it will likely require you to think outside the box of medicine alone.

Book recommendations:

Radical Remission, by Dr. Kelly A. Turner

Spontaneous Healing, by Dr. Andrew Weil

The Gerson Therapy, by Charlotte Gerson

[breaking-everything]

To everyone that needs gender affirming care, including cis people that need these medications for health reasons like cancer and imbalances that require hormones/testosterone, start stocking up as much as you can because orange shit stain will target all of these medications as trans related when so many people depend on them.

Spread the word to others that may be affected.

[dragons1re]

Childhood cancer awareness is incredibly important to me!! A very close friend has recently gone into remission!! This experience has drawn my attention to how little funding and recognition childhood cancer receives!! (Especially for rare cancer types like Sarcoma)

1 in every 285 children will develop cancer before the age of 20, 47 of those children will be diagnosed today, those 47 families will spend over 40% of their annual income on supporting their child. Tomorrow another 47 children will need your help and funding.

According to the Children’s Cancer Research Fund:

Childhood cancer remains the most common cause of death by disease among children in the U.S.

The amount of funding that goes to childhood cancer research continues to pale in comparison to the funds available for research into adult cancers. Current cancer research funding from the federal government, dedicates funding to childhood cancer research that is in the single digits.

I believe that these numbers can and should change. And that you can help! In the notes have I will be providing links to resources for helping children with cancer in your community, as well as links to donate directly to funding childhood cancer research and relief. Remember that you can have positive change in your community and in this world.

Ways To Aid:

Remember that you have the power to reach out and help your community! Organize. Support. Reach out and find opportunities to volunteer! Make the world a better place!!

[free-bird30]

Help My brother Alaa Edin Get Medical‬ ‭Attention‬ ‭HE NEEDS.

A cancer patient. A Dad of three little kids.

https://gofund.me/1faa1518

[scotianostra]

Hi fholks am doing the 20 mile Kiltwalk in less than a fortnight in aid of Marie Curie, please if you can afford it a wee donation would go a long way, click on this link

https://www.justgiving.com/page/david-tolmie-1722930986306?utm_campaign=lc_frp_share_transaction_fundraiser_page_donation_received_-_first_donation&utm_content=c9b09da6-fd51-455d-8999-b1a114b841f9&utm_medium=email&utm_source=postoffice&utm_term=1722950886680&fbclid=IwY2xjawFD0NpleHRuA2FlbQIxMQABHZizmPOC9aoQQXu-u6s0PdTjSo1Gbf5AzyI5uvzfarD-CjnCXPIPm0MptQ_aem_tz_Z-axG5lSMjiLalnv59w

[machiavellli]

Cancer: A Food-Borne Illness, a documentary by Grace Price

I know this isn’t the typical stuff I post on here, but a friend of mine sent me this documentary this morning and it really did struck me. This is a topic I was already familiar with, but seeing more evidence being shared it’s always fascinating and incredibly heartbreaking at the same time. I’m no doctor by any means, but throughout my life I had the opportunity to partake in similar projects which really changed the way I perceive health as a concept. It all had to end when I asked the WWF ambassador why they were sponsoring a label that in reality ensures neither the quality of the food nor the protection of the environment. They did don’t like that, let’s put this way.

I think this is an important watch, especially if you are from the USA,

where processed food couldn’t flourish more than ever. I love food and I love health, but companies and their greed for money don’t. Sadly, it’s up to you to mind your wellbeing.

It’s a short watch: 23 minutes, way less than what the majority of people spent on social media every day, me included.

WATCH HERE (it’s free on Twitter)

[praetorianxxiv]

Christmas fun run and Troop at The National Botanical Gardens of Wales for Tenovus Cancer Care.

A fantastic day out entertaining kids and big kids alike 😀

[shalbymultispecialtyhospital]

Dr. Munjal Pandya, Medical Oncologist at Shalby Hospitals shares his views on Cancer Awareness. Cancer is not Cancel, seek Consultation with Our Cancer Specialists at Shalby Hospital Naroda in advance to reduce your risks substantially.

[sucros]

Ok so normally "shitty public figure spreads cancer treatment misinformation" is a good way to get me mad, but "the aging king needs a potion brewed from the rarest herbs of the land and perhaps the tongue of a dragon for his ails" is 100% my aesthetic.

potions??? lmaoo rip bozo

[jcmarchi]

AI’s Life-Changing, Measurable Impact on Cancer

New Post has been published on https://thedigitalinsider.com/ais-life-changing-measurable-impact-on-cancer/

AI’s Life-Changing, Measurable Impact on Cancer

Leveraging Big Data to Enhance AI in Cancer Detection and Treatment

Integrating AI into the healthcare decision making process is helping to revolutionize the field and lead to more accurate and consistent treatment decisions due to its virtually limitless ability to identify patterns too complex for humans to see.

The field of oncology generates enormous data sets, from unstructured clinical histories to imaging and genomic sequencing data, at various stages of the patient journey. AI can “intelligently” analyze large-scale data batches at faster speeds than traditional methods, which is critical for training the machine learning algorithms that are foundational for advanced cancer testing and monitoring tools. AI also has tremendous inherent pattern recognition capabilities for efficiently modeling data set complexities. This is important because it enables deeper, multi-layered understandings of the impact of nuanced molecular signatures in cancer genomics and tumor microenvironments. Discovering a pattern between genes only found in a certain subset of cancer cases or cancer progression patterns can lead to a more tailored, patient-specific approach to treatment.

What is the ultimate goal?  AI-powered cancer tests that support clinical decision-making for doctors and their patients at every step of the cancer journey – from screening and detection, to identifying the right treatment, and for monitoring patients’ response to interventions and predicting recurrence.

Data Quality and Quantity: The Key to AI Success

Ultimately, an AI algorithm will only be as good as the quality of data that trains it. Poor, incomplete or improperly labeled data can hamstring AI’s ability to find the best patterns (garbage in, garbage out). This is especially true for cancer care, where predictive modeling relies on impeccable precision – one gene modification out of thousands, for example, could signal tumor development and inform early detection. Ensuring that high level of quality is time-consuming and costly but leads to better data, which results in optimal testing accuracy. However, developing a useful goldmine of data comes with significant challenges. For one, collecting large-scale genomic and molecular data, which can involve millions of data points, is a complex task. It begins with having the highest quality assays that measure these characteristics of cancer with impeccable precision and resolution.  The molecular data collected must also be as diverse in geography and patient representation as possible to expand the predictive capacity of the training models.  It also benefits from building long-term multi-disciplinary collaborations and partnerships that can help gather and process raw data for analysis. Finally, codifying strict ethics standards in data handling is of paramount importance when it comes to healthcare information and adhering to strict patient privacy regulations, which can sometimes present a challenge in data collection.

An abundance of accurate, detailed data will not only result in testing capabilities that can find patterns quickly and empower physicians with the best opportunity to address the unmet needs for their patients but will also improve and advance every aspect of clinical research, especially the urgent search for better medicines and biomarkers for cancer.

AI Is Already Showing Promise in Cancer Care and Treatment

More effective ways to train AI are already being implemented. My colleagues and I are training algorithms from a comprehensive array of data, including imaging results, biopsy tissue data, multiple forms of genomic sequencing, and protein biomarkers, among other analyses – all of which add up to massive quantities of training data. Our ability to generate data on the scale of quadrillions rather than billions has allowed us to build some of the first truly accurate predictive analytics in clinical use, such as tumor identification for advanced cancers of unknown primary origin or predictive chemotherapy treatment pathways involving subtle genetic variations.

At Caris Life Sciences, we’ve proven that extensive validation and testing of algorithms are necessary, with comparisons to real-world evidence playing a key role. For example, our algorithms trained to detect specific cancers benefit from validation against laboratory histology data, while AI predictions for treatment regimens can be cross compared with real-world clinical survival outcomes.

Given the rapid advancements in cancer research, experience suggests that continuous learning and algorithm refinement is an integral part of a successful AI strategy. As new treatments are developed and our understanding of the biological pathways driving cancer evolves, updating models with the most up-to-date information offers deeper insights and enhances detection sensitivity.

This ongoing learning process highlights the importance of broad collaboration between AI developers and the clinical and research communities. We’ve found that developing new tools to analyze data more rapidly and with greater sensitivity, coupled with feedback from oncologists, is essential. Bottom-line: the true measure of an AI algorithm’s success is how accurately it equips oncologists with reliable, predictive insights they need and how adaptable the AI strategy is to ever-changing treatment paradigms.

Real-World Applications of AI Are Already Increasing Survival Rates and Improving Cancer Management

Advances in data scale and quality have already had measurable impacts by expanding the physician decision-making toolkit, which has had real-world positive results on patient care and survival outcomes. The first clinically validated AI tool for navigating chemotherapy treatment choices for a difficult-to-treat metastatic cancer can potentially  extend patient survival by 17.5 months, compared to standard treatment decisions made without predictive algorithms1. A different AI tool can predict with over 94% accuracy the tumor of origin for dozens of metastatic cancers2 – which is critical to creating an effective treatment plan.  AI algorithms are also predicting how well a tumor will respond to immunotherapy based on each person’s unique tumor genetics. In each of these cases, AI toolkits empower clinical decision-making that improves patient outcomes compared with current standards of care.

Expect An AI Revolution in Cancer

AI is already changing how early we can detect cancer and how we treat it along the way. Cancer management will soon have physicians working side-by-side with integrated AI in real time to treat and monitor patients and stay one step ahead of cancer’s attempts to outwit medicines with mutations. In addition to ever-improving predictive models for detecting cancer earlier and providing more effective personalized treatment paradigms, physicians, researchers, and biotech companies are hard at work today to leverage data and AI analyses to drive new therapeutic discoveries and molecular biomarkers for tomorrow.

In the not-too-distant future, these once-impossible advances in AI will reach far beyond cancer care to all disease states, ending an era of uncertainty and making medicine more accurate, more personalized, and more effective.

[eatclean-bewhole]

I have been invited to speak at the Healing Strong cancer support group next Thursday, April 25th at 7pm MST. This is an open invitation to anyone wanting to learn how to harness the power of nutrition and holistic therapies in the fight against cancer, regardless of whether or not you choose to use conventional treatment. Nutrition is our first, most powerful medicine and it’s administered three times a day. We improve symptoms and our chances of healing when we provide our body with the support it needs. Some of the things you will learn in this webinar....

1. Leveraging fasting (autophagy) and detoxing to encourage cell repair.

2. The power of juicing to provide cells with essential nutrients and to oxygenate the body.

3. Nutrition to alkalize the body and support its powerful healing mechanisms.

4. Holistic therapies that can help reduce inflammation and encourage quicker recovery and healing.

I am also thrilled to announce that I will have a special guest and courageous cancer survivor join me who has healed by implementing the nutrition, therapies, and methods that will be discussed. I cannot wait for you to hear her powerful story of inspiration and hope. To everyone else, she goes by Patti. To me, she is Mom. Since this is a topic close to my heart, there is no cost. Simply go here to register: https://events.theholisticchef.com/cancerwebinar

All the love, health & healing. 💚

~K

#cancersupport #HolisticHealth #nutrition #cancer #foodismedicine #integrativenutrition #integrativemedicine #cancerfighting #anticancer #reversecancer #holistic #holistichealing #heal #healing #diet #alkaline #disease #diseasefighting #diseaseprevention #juicing #inflammation #antiinflammatory #guthealth #detox #autophagy #immunity #breastcancer #health #healthyliving #healthylifestyle

[onlinecancerguide]

Dr. Murali Subramanian Explains Life During Chemotherapy

Whether a patient can maintain daily activities and work during chemotherapy varies significantly with individual circumstances, including the type of chemotherapy, the stage of cancer, and personal health. Dr. Murali Subramanian dives into the experiences of patients navigating their daily routines

[zoeclews]

Zoe Clews & Associates

Choosing a qualified hypnotherapist ensures effective care. Searching for professionals who specialise in medical support, especially in pain and anxiety management, provides better outcomes. Approaching sessions with an open mind and setting clear goals enhances effectiveness.

[villagedoctor]

[medifact]

When you visit our practice you learn the many ways, our cancer team can help you and your family. We provide everything from cancer diagnosis and new treatment options.

Cancer diagnosis and treatments

Specialty consultation for Medical Oncology conditions

Specialty consultation for Hematology

Outpatient chemotherapy & infusion center

Support services

Participation in clinical trials

Hospital consultation