Role of Artificial intelligence in precision medicine – Pubrica

1. ROLE OF ARTIFICIAL INTELLIGENCE IN PRECISIONMEDICINE An Academic presentationby Dr.NancyAgens,Head,TechnicalOperations,Pubrica Group: www.pubrica.com Email:sales@pubrica.com

2. Today'sDiscussion Outline In-Brief Introduction Rise of Medicine Practice Precision is Impossible withoutAI Does Artificial Intelligence End withCompassion Conclusion

3. In-Brief The most significant developments in medical care are precisionmedicine for recent years, influences potential growth in symptom-driven medical practice. Experimental research designon the development of medicine using artificial intelligence is still challenging in the healthcare field. Pubrica helps you to understand the role of artificial intelligence in the production of precisionmedicine.

4. Introduction The core of medical practice has to collect a collection of massive data about the patient's healthsignificantly fast and making decisionsaccordingly. The physicians use artificial intelligence tools for their judgement, problem-solving as they haveminimal resources, due to this emerging transformation and disruptive technologies in digitalhealthcare. Major technologies involved in the process ofmedicine are genomics, biotechnology, artificialintelligence. Contd..

5. The three significant benefits are giving sufficient care to patients, collection ofmassive data with advanced analytics, production of precisionmedicine. It's unnecessary to waste time in developing treatments for huge populationsand making medical decisions identifying the physical characteristics ofpatients. Medicine is growing towards prevention, personalization andprecision. Artificial intelligence is the critical tool to achieve modernmedicine. Clinical study design should have a clear idea about the precise treatmentusing artificial intelligence with the help ofPubrica.

6. Rise of Medicine Practise Over the past years, medical care gives onlygeneralized solutions for all the health issues that will treat many patients with similarsymptoms. Cough syrup can apply to the majority of coughing masses patients, and it creates allergic reactions to very fewpeople. It is essential to find alternative medicine for such casesor to create an accurate treatment of therapy using emerging technologies. Experiences and available pieces of evidence onthe working methods of the medical community begin inthe twentiethcentury. Contd..

7. The detection of bacteria or viruses, the development of newpharmaceutical tools and medical techniques using AI is leading the healthcare towards the development of a fresh start of thecentury. The evidence-based medicinegets a place from the experience-basedmedicine using 'trial-and-error'. To prove the efficacy of treatments and diagnostics in scientific researchand clinical experimental design, they started using alternative therapies,preferably modernmedicines. Contd..

8. People with allergic reactions after consuming cough syrups are prescribed not to useit as they found extensive precision medicine forcough. It gives alternative solutions for some medical issues using AItools. Many disruptive technologies like cheap genome sequencing, advanced biotechnology, health sensors for the patients, data collection about patients health, hand-held medical devices, provides a vast significance in the twenty-first centuryunder the name of digital health with smartphones and digital trackers even at theirhome. Now the physicians can't work on the absence of artificial intelligencetools.

9. Precision is Impossible withoutAI The National Institutes of Health states that precision of medicine is 'a developing approachfor disease treatment and prevention that calculates individual variability in genes, environmentand lifestyle for everypatient. This approach helps the doctors and researchersin predicting more accurate treatment and prevention strategies on a particular disease that will work formanypeople. Contd..

10. It requires significant computing power (supercomputers)and algorithms thatcan learn quickly by themselves at an extensive rate (deep learning) and generally, an approach that uses the cognitive capabilities of physicians on a new trend(AI). The supercomputers have become a battleground for countries demonstratingtheir power throughthem. Deep learning algorithmshelp in diagnoses at least as well as physiciansin cardiology, dermatology andoncology. It is essential to emphasize the uses of combining such algorithms underthe guidance ofphysicians. Contd..

11. The grand challenge of the biomedical imaging on an international symposium, metastatic breast cancer is detected in full slide images of the sentinel lymphnode. The success rate of winner algorithm is92.5%. A pathologist independently reviewed the same pictures and got the successrate of96.6%. The deep learning system's predictions, the human pathologist's diagnosesincrease the success rate of pathologist'sto 99.5%, an approximately 85% reductionin medical error rate for experimental research designpurposes. Contd..

13. Does Artificial Intelligence End with Compassion ? Out of all advantages, ethical considerations and legal issues arethere. It comes to health; this becomes a moresignificant moralissue. More unanswered questions today than we face with public discussions worldwide are there, and this gives a clear image as AI is becoming areality. AI also has severe disadvantages in the medicalsector. Contd..

14. Focussing on prediction are mediated based on precedence when it comesto machine learning. Still, algorithms can be under performing in novel cases of drug side effectsor treatment resistance where there is no previous example to buildon. Precision medicine needs a myriad of disruptive technologies to be activatedinto developing treatments, practising medicine, and providingcare. Contd..

15. Data analysis should support the skills of physicians and is not meant toreplace the traditional physician-patientrelationship. The actual experimental research designswill follow all the moral values beforethe production of an accuratemedicine

16. Conclusion However, the cultural transformation, digital health, the hierarchy of traditional medicine is transferring into an equal level partnership between patients anddoctors. Despite many disruptive technologies, AI has the significant potential to provide this transition byanalyzing the vast amounts of patients data and healthcare sectors record in everydimension. AI can only complete its mission if it remains a safeand proven aid in treating patients and improving healthcare sectors for experimental designpurposes with the help ofpubrica.

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